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Owner: kiahg15
Created: Nov 17, 2017
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Advanced NBA Statistics for 2013-2014 Season- Part 2

Independent Variable- Minutes

Dependent Variable- Age

Scatter Plot

The Scatter Plot has many values

There are no outliers that need to be removed

The LINE OF BEST FIT: Slope= 0.000171 Y-Intercept= 26.152

Line of Best Fit= Y=0.000171x+26.152

Simple linear regression results:

Dependent Variable: Age

Independent Variable: Minutes

Age = 26.152762 + 0.0001719426 Minutes

Sample size: 342

R (correlation coefficient) = 0.030550269

R-sq = 0.00093331893

Estimate of error standard deviation: 4.1183583

Parameter estimates:

 Parameter Estimate Std. Err. Alternative DF T-Stat P-value Intercept 26.152762 0.54916679 ≠ 0 340 47.62262 <0.0001 Slope 0.0001719426 0.00030508878 ≠ 0 340 0.56358219 0.5734

Analysis of variance table for regression model:

 Source DF SS MS F-stat P-value Model 1 5.387196 5.387196 0.31762488 0.5734 Error 340 5766.6976 16.960875 Total 341 5772.0848

• The correlation coefficient in this is low. The values that are represented are not correlated in a strong way.

• The slope in this equation is small.

• The R squared value is significantly small, meaning the two variable in this equation are very poorly correlated.

• The scatter plots represents a lot of information and inserting the line of best fit represents how poorly correlated these values are.

• The terms have no significance due to such a low correlation

Line of Best Fit

QQ Plot of Residuals

-These values do not seem to follow a normal distribution. These values vary and do have some values that are nowhere near the trend.