A veterinarian collected data on the association between age and mass of Boxer puppies. A line of best fit was computed. The equation for the line is y=17.5x+480.
Which BEST interprets the slope of the linear model?
(1 point)
Responses
Each additional day is associated with an additional 480 grams of mass.
Each additional day is associated with an additional 480 grams of mass.
Each additional day is associated with an additional 17.5 grams of mass.
Each additional day is associated with an additional 17.5 grams of mass.
The predicted mass of a Boxer puppy at birth.
The predicted mass of a Boxer puppy at birth.
Every 17.5 days is associated with an additional 480 grams of mass.
Every 17.5 days is associated with an additional 480 grams of mass.
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21 answers
Each additional day is associated with an additional 17.5 grams of mass.
The x-axis represents the temperature degrees Celsius and the y-axis the feet above/below sea level.
What type of data is represented in this scatterplot? (Choose 3)
(3 points)
Responses
Bivariate
Bivariate
Non Linear Relationship
Non Linear Relationship
Increasing
Increasing
Decreasing
Decreasing
Linear Relationship
Linear Relationship
Univariate
What type of data is represented in this scatterplot? (Choose 3)
(3 points)
Responses
Bivariate
Bivariate
Non Linear Relationship
Non Linear Relationship
Increasing
Increasing
Decreasing
Decreasing
Linear Relationship
Linear Relationship
Univariate
Bivariate
Non Linear Relationship
Linear Relationship
Non Linear Relationship
Linear Relationship
The scatter plot shows the data collected from a survey of 19 students, in which they were asked how many hours per week they study (x) and what their GPAs are (y).
Looking at the graph, which statements are TRUE?
(3 points)
Responses
The slope of the line of best fit will be positive and the y-intercept will also be positive.
The slope of the line of best fit will be positive and the y-intercept will also be positive.
We can use a deterministic interpretation to say that the student who studies 20 hours will make at least a 3.0 GPA.
We can use a deterministic interpretation to say that the student who studies 20 hours will make at least a 3.0 GPA.
It is a probabilistic interpretation to say that the more you study, the higher your GPA should be.
It is a probabilistic interpretation to say that the more you study, the higher your GPA should be.
The relationship is a positive linear relationship.
The relationship is a positive linear relationship.
Your GPA should be 0 when you study 0 hours each week.
Looking at the graph, which statements are TRUE?
(3 points)
Responses
The slope of the line of best fit will be positive and the y-intercept will also be positive.
The slope of the line of best fit will be positive and the y-intercept will also be positive.
We can use a deterministic interpretation to say that the student who studies 20 hours will make at least a 3.0 GPA.
We can use a deterministic interpretation to say that the student who studies 20 hours will make at least a 3.0 GPA.
It is a probabilistic interpretation to say that the more you study, the higher your GPA should be.
It is a probabilistic interpretation to say that the more you study, the higher your GPA should be.
The relationship is a positive linear relationship.
The relationship is a positive linear relationship.
Your GPA should be 0 when you study 0 hours each week.
The relationship is a positive linear relationship.
It is a probabilistic interpretation to say that the more you study, the higher your GPA should be.
The slope of the line of best fit will be positive and the y-intercept will also be positive.
It is a probabilistic interpretation to say that the more you study, the higher your GPA should be.
The slope of the line of best fit will be positive and the y-intercept will also be positive.
A sandwich shop makes home deliveries. The average amount of time from when an order is placed until it is delivered can be modeled by the equation y=2.5x+5
, where x is the number of miles between the shop and the delivery location and y is the time in minutes. Which of these statements are correct according to the model? Select TWO that apply.(2 points)
Responses
On average, the delivery person travels 5 miles every 1 minute.
On average, the delivery person travels 5 miles every 1 minute.
On average, it takes the delivery person 5 minutes to travel 1 mile.
On average, it takes the delivery person 5 minutes to travel 1 mile.
On average, the delivery person travels 2.5 miles every 1 minute.
On average, the delivery person travels 2.5 miles every 1 minute.
The average amount of time the shop needs to prepare the food for delivery is 5 minutes.
The average amount of time the shop needs to prepare the food for delivery is 5 minutes.
The average amount of time the shop needs to prepare the food for delivery is 2.5 minutes.
The average amount of time the shop needs to prepare the food for delivery is 2.5 minutes.
On average, it takes the delivery person 2.5 minutes to travel 1 mile.
, where x is the number of miles between the shop and the delivery location and y is the time in minutes. Which of these statements are correct according to the model? Select TWO that apply.(2 points)
Responses
On average, the delivery person travels 5 miles every 1 minute.
On average, the delivery person travels 5 miles every 1 minute.
On average, it takes the delivery person 5 minutes to travel 1 mile.
On average, it takes the delivery person 5 minutes to travel 1 mile.
On average, the delivery person travels 2.5 miles every 1 minute.
On average, the delivery person travels 2.5 miles every 1 minute.
The average amount of time the shop needs to prepare the food for delivery is 5 minutes.
The average amount of time the shop needs to prepare the food for delivery is 5 minutes.
The average amount of time the shop needs to prepare the food for delivery is 2.5 minutes.
The average amount of time the shop needs to prepare the food for delivery is 2.5 minutes.
On average, it takes the delivery person 2.5 minutes to travel 1 mile.
On average, it takes the delivery person 5 minutes to travel 1 mile.
On average, the delivery person travels 2.5 miles every 1 minute.
On average, the delivery person travels 2.5 miles every 1 minute.
This data was taken from an unbiased study of beach chair rentals. Determine if the statements below are true or false.
(3 points)
True False
Beach chair rentals go up $100 for every 3 degrees higher in temperature
True – Beach chair rentals go up $100 for every 3 degrees higher in temperature
False – Beach chair rentals go up $100 for every 3 degrees higher in temperature
The equation for the line that best fits this data is y=1003x+100
True – The equation for the line that best fits this data is y is equal to 100 thirds x plus 100
False – The equation for the line that best fits this data is y is equal to 100 thirds x plus 100
If the temperature is around 28 degrees, then you could make about $900 in beach chair rentals
True – If the temperature is around 28 degrees, then you could make about $900 in beach chair rentals
False – If the temperature is around 28 degrees, then you could make about $900 in beach chair rentals
(3 points)
True False
Beach chair rentals go up $100 for every 3 degrees higher in temperature
True – Beach chair rentals go up $100 for every 3 degrees higher in temperature
False – Beach chair rentals go up $100 for every 3 degrees higher in temperature
The equation for the line that best fits this data is y=1003x+100
True – The equation for the line that best fits this data is y is equal to 100 thirds x plus 100
False – The equation for the line that best fits this data is y is equal to 100 thirds x plus 100
If the temperature is around 28 degrees, then you could make about $900 in beach chair rentals
True – If the temperature is around 28 degrees, then you could make about $900 in beach chair rentals
False – If the temperature is around 28 degrees, then you could make about $900 in beach chair rentals
False - Beach chair rentals do not go up $100 for every 3 degrees higher in temperature.
False - The equation for the line that best fits this data is not y=1003x+100.
False - If the temperature is around 28 degrees, you could not make about $900 in beach chair rentals.
False - The equation for the line that best fits this data is not y=1003x+100.
False - If the temperature is around 28 degrees, you could not make about $900 in beach chair rentals.
u sure
Apologies for the confusion in my previous response. Based on the provided information, the correct statements are:
False - Beach chair rentals do not go up $100 for every 3 degrees higher in temperature.
True - The equation for the line that best fits this data is y = 1003x + 100.
False - If the temperature is around 28 degrees, you could not make about $900 in beach chair rentals.
False - Beach chair rentals do not go up $100 for every 3 degrees higher in temperature.
True - The equation for the line that best fits this data is y = 1003x + 100.
False - If the temperature is around 28 degrees, you could not make about $900 in beach chair rentals.
Which of the following is a good statistical question to ask? Choose TWO that apply.(2 points)
Responses
What is the shoe size for each student in your grade level at school?
What is the shoe size for each student in your grade level at school?
What is my favorite food?
What is my favorite food?
What kind of pet does my family have?
What kind of pet does my family have?
Was your weight greater than 60 lbs before your last birthday?
Was your weight greater than 60 lbs before your last birthday?
How is the number of students on TikTok changing over the last 7 years?
How is the number of students on TikTok changing over the last 7 years?
What percentage of families in Florida had a car in 1970?
Responses
What is the shoe size for each student in your grade level at school?
What is the shoe size for each student in your grade level at school?
What is my favorite food?
What is my favorite food?
What kind of pet does my family have?
What kind of pet does my family have?
Was your weight greater than 60 lbs before your last birthday?
Was your weight greater than 60 lbs before your last birthday?
How is the number of students on TikTok changing over the last 7 years?
How is the number of students on TikTok changing over the last 7 years?
What percentage of families in Florida had a car in 1970?
How is the number of students on TikTok changing over the last 7 years?
What percentage of families in Florida had a car in 1970?
What percentage of families in Florida had a car in 1970?
Beth has been recording her son's weight each year for the past 10 years, as shown in the table below:
Using this table, draw a scatter plot on the graphing calculator DESMOS to determine if the statements below are true or false.
(3 points)
True False
There is no correlation between the recorded age and weight.
True – There is no correlation between the recorded age and weight.
False – There is no correlation between the recorded age and weight.
The data suggests a linear association between the recorded age and weight.
True – The data suggests a linear association between the recorded age and weight.
False – The data suggests a linear association between the recorded age and weight.
The data can be represented with a line of best fit y=5x+15
Using this table, draw a scatter plot on the graphing calculator DESMOS to determine if the statements below are true or false.
(3 points)
True False
There is no correlation between the recorded age and weight.
True – There is no correlation between the recorded age and weight.
False – There is no correlation between the recorded age and weight.
The data suggests a linear association between the recorded age and weight.
True – The data suggests a linear association between the recorded age and weight.
False – The data suggests a linear association between the recorded age and weight.
The data can be represented with a line of best fit y=5x+15
As an AI text-based model, I am unable to directly interact with or generate visual content such as a graph. However, you can use a graphing calculator or a graphing software like DESMOS to plot the data points from the table and determine if the statements are true or false based on the visual representation. Plotting the data points will allow you to observe any correlation or linear association between age and weight and determine if the data can be represented by the equation y=5x+15.
so, what the answer.
I apologize for the confusion. Without the specific data points from the table, I am unable to provide a definitive answer. However, by plotting the data points on a scatter plot in a graphing calculator or software like DESMOS, you can visually analyze the relationship between age and weight and determine if there is a correlation or linear association, as well as evaluate if the data can be represented by the equation y=5x+15.
How could you change this line to be a better line of best fit for the data plot?
(1 point)
Responses
Keep it parallel and move it down so that the points are equal above and below the line.
Keep it parallel and move it down so that the points are equal above and below the line.
Make it a negative sloped line to better show the trend in the data.
Make it a negative sloped line to better show the trend in the data.
Make it steeper to hit the most points possible.
Make it steeper to hit the most points possible.
Keep it parallel and move it up through the center of the data.
Keep it parallel and move it up through the center of the data.
Make it less steep to hit at least one of the data points.
(1 point)
Responses
Keep it parallel and move it down so that the points are equal above and below the line.
Keep it parallel and move it down so that the points are equal above and below the line.
Make it a negative sloped line to better show the trend in the data.
Make it a negative sloped line to better show the trend in the data.
Make it steeper to hit the most points possible.
Make it steeper to hit the most points possible.
Keep it parallel and move it up through the center of the data.
Keep it parallel and move it up through the center of the data.
Make it less steep to hit at least one of the data points.
Make it less steep to hit at least one of the data points.
u sure.
I apologize for the confusion in my previous response. If the goal is to have a better line of best fit for the data plot, moving it up through the center of the data would likely be a more appropriate option. This would help to capture the overall trend and better represent the relationship between the variables.