3. An outlier is a data point that differs significantly from the rest of the data. A cluster is a group of data points that are close together. On a scatter plot, outliers can be identified as points that are very far away from the main cluster of points. Clusters, on the other hand, appear as groups of points that are close together on the plot.
4. To find the missing number in the frequency table, we can see that the total number of people who play sports in the winter is 45. Since we know that there are 20 people who play baseball, we can calculate that there are 25 people who play football in the winter.
Relative frequency of playing baseball in the winter = (20/45) * 100% = 44.4% --> rounded to nearest tenth percent = 44.4%
5. Here is a scatter plot of the data provided:
Month Number of Slushies Sold
1 15
2 22
3 26
4 28
Best fit line:
The best fit line would be a line that goes through the points on the scatter plot in such a way that it represents the overall trend of the data. It may not necessarily go through every point, but it should capture the general direction of the data points.
3. Define an outlier and a cluster? How would you recognize it on a scatter plot?
4. Find missing number in frequency table. Then find the relative frequency that if you play sports in the winter, it will be baseball. Round to nearest tenth percent.
Baseball Football totals
Summer 45 15 60
winter 20 [blank] 45
totals 65 40 105
5. Make a scatter plot of this data and draw a best fit line
Month 1 2 3 4
Number of slushies sold 15 22 26 28
1 answer