Sharita Smith
Project 3
Introduction: Golden State Warriors selected stats 2016/2017 regular season is the data i used, I pulled this data from statcrunch. The sample size is 12, the first quantitative variable is (PTS) points score durnig the game and the second quantitative variable is (FT%) Free throws precentages.
Analysis:The regression equation is 65.093695+0.90831867x.The correlation coefficient is 0.70330594. The coefficient of determination is Rsq. = 0.49463924. The linear relationship is strong because it is between .70 to .84 and this is considered to be a strong positive. The coefficient of determination is 0.7033 which means that 70.33% of the change in Y is determined by the regression equation.
Conclusion: Golden State Warriors selected stats 2016/2017 regular season data was used to obtain the sample size of 12. The dependent X variable was the (PTS) points score, and the independent Y variable was the (FT%) Free throws precentages. A regression should be done because the correlation coefficient is 0.7033 and the points on the scatterplot are somewhat scattered and cluster about the regression line and about 70% of the change in y is explained by the regression equation. Therefore, a linear regression should have been completed on this data.
Simple linear regression results:
Dependent Variable: FT% Independent Variable: PTS FT% = 65.093695 + 0.90831867 PTS Sample size: 12 R (correlation coefficient) = 0.70330594 Rsq = 0.49463924 Estimate of error standard deviation: 8.2249666 Parameter estimates:
Analysis of variance table for regression model:

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