er of games won by a major league baseball team in a season related to the team batting average? The table below shows the number of games won and the batting average (in thousandths) of 8 teams. Team Batting Average Games Won 1 2 3 14 5 16 7 8 276 288 280 290 270 278 286 274 (b) 109 97 101 66 114 113 96 104 Using batting average as the explanatory variable z. answer each of the following, rounding all values to at least three decimal places (a) The correlation coefficient is r The equation of (c) What percent of variation in the observed values of the response variable is explained by the regression answer: the least squares line is
er of games won by a major league baseball team in a season related to the team batting average? The table below shows the number of games won and the batting average (in thousandths) of 8 teams. Team Batting Average Games Won 1 2 3 14 5 16 7 8 276 288 280 290 270 278 286 274 (b) 109 97 101 66 114 113 96 104 Using batting average as the explanatory variable z. answer each of the following, rounding all values to at least three decimal places (a) The correlation coefficient is r The equation of (c) What percent of variation in the observed values of the response variable is explained by the regression answer: the least squares line is
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Q19.

Transcribed Image Text:Is the number of games won by a major league baseball team in a season related to the team batting average? The table below shows the number of games won and the
batting average (in thousandths) of 8 teams.
Team Batting Average Games Won
1
2
3
4567
8
276
288
280
200
270
278
286
274
109
97
101
66
114
113
96
104
Using batting average as the explanatory variable z. answer each of the following, rounding all values to at least three decimal places
(a) The correlation coefficient isr
(b)
The equation of the least squares line is
(c) What percent of variation in the observed values of the response variable is explained by the regression
answer:
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