The following data represents Steph Curry\'s points averaged for the first 50 ga

Question

The following data represents Steph Curry's points averaged for the first 50 games last season and Field Goal Attempts and Three Point Attemps.
1. What is the significance of the linear relationship with the defendant variable? 2. Interpret the y intercept in this model. 3. Discuss the data. Are there flaws or strengths in the model? How did the variables improve the model? 4. Briefly define each variable and how each variable will be measured.
f) The Value of SSE is: 1479.5815 g) The value of coefficient determination is: R^2 = 0.594 H) The value of correlation coefficient is: R=0.770 I) The value of s^2 is: 5.552
Regression Analysis R2 0.594 Adjusted R 0.577 R 0.770 Std. Error 5.552 Dep. Var. Points ANOVA table Source value df 2 1,080.4642 35.05 4.13E-10 MS Regression 2,160.9284 Residual 1.479.5814 Total 3,640.5098 48 30.8246 50 Regression out variables Intercept FG-A confidence interval coefficients std: error 0.4527 3.1303 0.9289 0.2519 1101 0.3784 t (df-48) p-value 95% lower 0.145 8856 -6.7466 3.687 0006 0.4224 2.934.00510.3494 95% upper 5.8412 1.4355 8709

Explanation / Answer

1. The linear relation ship is significant between the independent variable and dependent variable as the p-value is less than the level of significance 0.05

2. the Y intercept is -0.4527

3, R2 = 0.594 indicates that 59.4% of the variation in the dependent variable y is explained by the independent variables.

4. The varaibles are measured by the method of least squares

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