# Report Properties
Created: May 8, 2018
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Data sets in this report

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APoat Project 3

Amir Poat

Golden State Warriors Stats from 2016/2017 NBA Regular Season.

The data used in this project is about the stats of the 12 players that used to play for Golden State Warriors in 2016/2017 NBA regular season and it was obtained from Statcrunch website. This obtained from the stat center of NBA that shows the players points per game, minutes per game, field goal made per game, 3-pointers made per game, free throws made per game, offensive rebounds per game, assists per game, turnovers per game, field goals percentage and free throw percentage. The sample size for this data is 12. This report is made by using player minutes per game as independent variable and their point per game as the dependent.

The regression equation for this sample is points per game= -5.0492847+ 0.72798521 minutes per game with a correlation coefficient equal to 0.84738795. the linear relationship is a positive strong relationship. The coefficient of determination is 0.71806634, which indicates that 71.8% of the change in dependent variable is determined by the regression equation. There seems to be a strong regression relation between the stats so a linear regression model can be done on this data set.

The dependent variable in this data set is the players points per game and the independent variable is the their minutes per game. The sample size in this project is 12. The regression equation for this sample is points per game= -5.0492847+ 0.72798521 minutes per game with a correlation coefficient equal to 0.84738795. the linear relationship is a positive strong relationship. The coefficient of determination is 0.71806634, which indicates that 71.8% of the change in dependent variable is determined by the regression equation. There seems to be a strong positive regression relation between the stats so a linear regression model can be done on this data set.

Result 1: Simple Linear Regression Project 3   [Info]

Result 2: Simple Linear Regression for Project 3   [Info]
Simple linear regression results:
Dependent Variable: PTS
Independent Variable: MIN
PTS = -5.0492847 + 0.72798521 MIN
Sample size: 12
R (correlation coefficient) = 0.84738795
R-sq = 0.71806634
Estimate of error standard deviation: 4.7567782

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-5.04928473.3686898 ≠ 010-1.49888680.1648
Slope0.727985210.14424931 ≠ 0105.04671540.0005

Analysis of variance table for regression model:
SourceDFSSMSF-statP-value
Model1576.29311576.2931125.4693370.0005
Error10226.2693922.626939
Total11802.5625

Data set 1. Golden State Warriors selected stats 2016/2017 reg   [Info]