StatCrunch logo (home)

Report Properties
Thumbnail:
Owner: kiahg15
Created: Nov 17, 2017
Share: yes
Views: 369
Tags:
 
Results in this report
None
 
Data sets in this report
None
 
Need help?
To copy selected text, right click to Copy or choose the Copy option under your browser's Edit menu. Text copied in this manner can be pasted directly into most documents with formatting maintained.
To copy selected graphs, right click on the graph to Copy. When pasting into a document, make sure to paste the graph content rather than a link to the graph. For example, to paste in MS Word choose Edit > Paste Special, and select the Device Independent Bitmap option.
You can now also Mail results and reports. The email may contain a simple link to the StatCrunch site or the complete output with data and graphics attached. In addition to being a great way to deliver output to someone else, this is also a great way to save your own hard copy. To try it out, simply click on the Mail link.
Advanced NBA Statistics for 2013-2014 Season- Part 2
Mail   Print   Twitter   Facebook

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.

HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=73916">Advanced NBA Statistics for 2013-2014 Season- Part 2</A>

Comments
Want to comment? Subscribe
Already a member? Sign in.
By xg15
Nov 22, 2017

The significance level, also denoted as alpha or α, is the probability of rejecting the null hypothesis when it is true. Usually it is 0.05 or 0.01.
When determine whether a slope is significant or not, we compare the P-value with the significance level
R^2 is the percentage of variance of response explained by linear model
Partial credit will be taken off due to late submission.

Always Learning