Take
m1=(y(2)-y(1))/(2-1)=0.5
m2=(y(3)-y(2))/(3-2)=0.5
Since the slopes between any of the three points equal 0.5, so the first three points are collinear, and m1=m2>0 so the slope is positive.
Can you take it from here?
For the table that follows, answer the following questions:
x y
1 1/2
2 1
3 3/2
4
- Would the correlation between x and y in the table above be positive or negative?
- Find the missing value of y in the table.
- How would the values of this table be interpreted in terms of linear regression?
- If a "line of best fit" is placed among these points plotted on a coordinate system, would the slope of this line be positive or negative?
3 answers
This is so confusing to me :( what would i do next??
If you wish, you can calculate the coefficient of correlation according to the method you use at school (mayer, median/median, etc.) using the first three pairs of data.
In the given case, the coefficient of correlation should be 1.0 because the first three points are collinear (fall on a straight line). The slope is positive (0.5), so the answer to the fourth question is positive.
I will let you calculate the coefficient of correlation (and confirm that it is 1.0).
In the given case, the coefficient of correlation should be 1.0 because the first three points are collinear (fall on a straight line). The slope is positive (0.5), so the answer to the fourth question is positive.
I will let you calculate the coefficient of correlation (and confirm that it is 1.0).