The data set for a random sample of 10 basketball player's heights compared to their shoe sizes is summarized in the table. Shoe Size (U.S.) Height (inches) 7 64.5 10 12.5 8.5 9 10 11 12.5 13 10.5 ONFOR 70 72 71 69 70 75 69 71 68 Part A: What is the equation of the least-squares regression line? Part B: If a basketball player wears a size 11.5 and is 73 inches tall, what is their residual? Show all mathematical work. Part C: Interpret the meaning of the residual from part B.

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I’m taking Probability and statistics math. This app has gotten me Wrong answers before. Please explain it in a simple detail so I can understand and study.
The data set for a random sample of 10 basketball player's heights compared to their shoe sizes is summarized in the table.
Shoe Size (U.S.) Height (inches)
64.5
7
10
12.5
8.5
9
10
11
12.5
13
10.5
ONFOR
70
72
71
69
70
75
69
71
68
Part A: What is the equation of the least-squares regression line?
Part B: If a basketball player wears a size 11.5 and is 73 inches tall, what is their residual? Show all mathematical work.
Part C: Interpret the meaning of the residual from part B.
Transcribed Image Text:The data set for a random sample of 10 basketball player's heights compared to their shoe sizes is summarized in the table. Shoe Size (U.S.) Height (inches) 64.5 7 10 12.5 8.5 9 10 11 12.5 13 10.5 ONFOR 70 72 71 69 70 75 69 71 68 Part A: What is the equation of the least-squares regression line? Part B: If a basketball player wears a size 11.5 and is 73 inches tall, what is their residual? Show all mathematical work. Part C: Interpret the meaning of the residual from part B.
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