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The data set for the average height of men at a ballgame compared to their shoe size is represented by the table.


Table with two columns titled men's shoe size (U. S. ) and height (inches). Data values 7 and 64, 10 and 69, 12 and 72, 8 and 67, 9. 5 and 69, 10 and 70, 11. 5 and 75, 12. 5 and 73, 13. 5 and 71, 10 and 68.

Part A: What is the equation of the least-squares regression line? (3 points)

Part B: Carlos wears a size 9 and is 71 inches tall. What is the residual for Carlos's data? Show your work. (4 points)

Part C: Interpret the meaning of the residual from part B. (3 points)



Answer :

An equation for the line of best fit for a men's height, y, based on her shoe size, x is; y = 0.25x + 66.6

What is a line of best fit?

A line of best fit can be defined as a statistical (analytical) tool that is used in conjunction with a scatter plot, in order to determine whether or not there's any association (correlation) between a data.

In this scenario, the men's shoe size would be plotted on the x-axis of the scatter plot while her height would be plotted on the y-axis.

By critically observing the scatter plot (see attachment) which models the data, we can reasonably deduce that an equation for the line of best fit is given by:

y = 0.25x + 66.6

Interpret the meaning of the residual from part B is given below.

Read more on line of best fit here:

brainly.com/question/12891189

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