6. The National Basketball Association (NBA) records a variety of statistics for each team. Four of these statistics are proportion of game won (PCT), the proportion of field goals made by the team (FG%), the proportion of three-point shots made by the team's opponent (OPP3 Pt %), and the number of turnovers commited by team's opponent (Opp TO). C. SUMMARY OUTPUT Regression Statistics Multiple R 0.750845814 R Square 0.563769436 Adjusted R 0.511421768 Standard E 0.097232509 Observation ANOVA Regression Residual Total Intercept FG% Opp 3 Pt% Opp TO df 29 SS MS F gnificance F 0.30545584 0.101819 10.76971 9.94E-05 3 25 0.236354022 0.009454 28 0.541809862 Coefficients Standard Error t Stat -1.23458529 4.816565347 -2.589468168 0.034425142 P-value Lower 95%Jpper 95% 0.600251117 -2.05678 0.050285 -2.47083 0.001655 1.183043066 4.071336 0.000412 2.380043 7.253088 0.704101282 -3.67769 0.001128 -4.03959 -1.13934 0.012532523 2.746865 0.010994 0.008614 0.060236 a. Write out the estimated regression equation for the relationship between the variables. b. Interpret the coefficients of the estimated regression equation found in Part (a). Carry out a test of whether y is significantly related to the independent variables. Use a .01 level of significance.
6. The National Basketball Association (NBA) records a variety of statistics for each team. Four of these statistics are proportion of game won (PCT), the proportion of field goals made by the team (FG%), the proportion of three-point shots made by the team's opponent (OPP3 Pt %), and the number of turnovers commited by team's opponent (Opp TO). C. SUMMARY OUTPUT Regression Statistics Multiple R 0.750845814 R Square 0.563769436 Adjusted R 0.511421768 Standard E 0.097232509 Observation ANOVA Regression Residual Total Intercept FG% Opp 3 Pt% Opp TO df 29 SS MS F gnificance F 0.30545584 0.101819 10.76971 9.94E-05 3 25 0.236354022 0.009454 28 0.541809862 Coefficients Standard Error t Stat -1.23458529 4.816565347 -2.589468168 0.034425142 P-value Lower 95%Jpper 95% 0.600251117 -2.05678 0.050285 -2.47083 0.001655 1.183043066 4.071336 0.000412 2.380043 7.253088 0.704101282 -3.67769 0.001128 -4.03959 -1.13934 0.012532523 2.746865 0.010994 0.008614 0.060236 a. Write out the estimated regression equation for the relationship between the variables. b. Interpret the coefficients of the estimated regression equation found in Part (a). Carry out a test of whether y is significantly related to the independent variables. Use a .01 level of significance.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Transcribed Image Text:d. At a = 0.05, test to determine if the FG% is a significant variable.
e. At a = 0.05, test to determine if the OPP3 Pt% is a significant variable.
f. At a = 0.05, test to determine if the Opp TO is a significant variable.
g.
Interpret R² and R²a.
Transcribed Image Text:6. The National Basketball Association (NBA) records a variety of statistics for each
team. Four of these statistics are proportion of game won (PCT), the proportion
of field goals made by the team (FG%), the proportion of three-point shots made
by the team's opponent (OPP3 Pt%), and the number of turnovers commited by
team's opponent (Opp TO).
SUMMARY OUTPUT
C.
Regression Statistics
Multiple R 0.750845814
R Square
0.563769436
Adjusted R 0.511421768
Standard E 0.097232509
Observation
ANOVA
Regression
Residual
Total
Intercept
FG%
Opp 3 Pt%
Opp TO
df
29
3
25
28
SS
MS
F gnificance F
0.30545584 0.101819 10.76971 9.94E-05
0.236354022 0.009454
0.541809862
Coefficients Standard Error t Stat
-1.23458529
4.816565347
-2.589468168
0.034425142
P-value Lower 95%Jpper 95%
0.600251117 -2.05678 0.050285 -2.47083 0.001655
1.183043066 4.071336 0.000412 2.380043 7.253088
0.704101282 -3.67769 0.001128 -4.03959 -1.13934
0.012532523 2.746865 0.010994 0.008614 0.060236
a. Write out the estimated regression equation for the relationship between the
variables.
b. Interpret the coefficients of the estimated regression equation found in Part
(a).
Carry out a test of whether y is significantly related to the independent
variables. Use a .01 level of significance.
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