Dr. Spring is a consultant for the National Youth Organization of long jumpers. His goal is to predict how farany given individual will jump (4 attempts) based only on his/her height. Fortunately he had access to height and length of jumps from last year’s competition. Initial analyses of the data were as follows: contestant height (inches) (X) Length of jumps (inches) (Y) mean: 53.100 mean: 123.650 SD: 4.667 SD: 10.535 correlation coefficient= .485, p= .030 (a) Conduct a linear regressionanalysis to predict the length of jumps for the following contestants. (do not round) Contestant number one 52inches tall, length of jumps = Contestant number two 70inches tall, length of jumps = Contestant number three 77inches tall, length of jumps =
Dr. Spring is a consultant for the National Youth Organization of long jumpers. His goal is to predict how farany given individual will jump (4 attempts) based only on his/her height. Fortunately he had access to height and length of jumps from last year’s competition. Initial analyses of the data were as follows: contestant height (inches) (X) Length of jumps (inches) (Y) mean: 53.100 mean: 123.650 SD: 4.667 SD: 10.535 correlation coefficient= .485, p= .030 (a) Conduct a linear regressionanalysis to predict the length of jumps for the following contestants. (do not round) Contestant number one 52inches tall, length of jumps = Contestant number two 70inches tall, length of jumps = Contestant number three 77inches tall, length of jumps =
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.1: Measures Of Center
Problem 27PFA
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Dr. Spring is a consultant for the National Youth Organization of long jumpers. His goal is to predict how farany given individual will jump (4 attempts) based only on his/her height. Fortunately he had access to height and length of jumps from last year’s competition. Initial analyses of the data were as follows:
contestant height (inches) (X) |
Length of jumps (inches) (Y) |
mean: 53.100 | mean: 123.650 |
SD: 4.667 | SD: 10.535 |
(a) Conduct a linear regressionanalysis to predict the length of jumps for the following contestants. (do not round)
Contestant number one 52inches tall, length of jumps =
Contestant number two 70inches tall, length of jumps =
Contestant number three 77inches tall, length of jumps =
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