The following data give the total rebounds per game (2) and points per game (y) professional basketball players. 6. 7 4 6. 10 8 4. 8 9. 2 6. 4 9. Create a scatterplot for the data. 11+ 1012
The following data give the total rebounds per game (2) and points per game (y) professional basketball players. 6. 7 4 6. 10 8 4. 8 9. 2 6. 4 9. Create a scatterplot for the data. 11+ 1012
Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter7: Distance And Approximation
Section7.3: Least Squares Approximation
Problem 31EQ
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Transcribed Image Text:The following data give the total rebounds per game (2) and points per game (Y) for a random sample of 12
professional basketball players.
6.
4
6.
10
8.
4
2.
8.
6.
6.
4
3
0.
1
Create a scatterplot for the data.
y
10
8.
7
4
2 3 4 5 6 7 8 9 10 11
Clear All Draw:
Determine the least squares regression line for the data. Round values to four decimal places, if necessary.
Determine the correlation coefficent. Round the solution to four decimal places, if necessary.
Use the model to predict the points scored in a game by a professional basketball player who achieves 4
rebounds in a game. Round the solution to the nearest whole number.
3.
2.
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