StatCrunch logo (home)

Report Properties
Thumbnail:

from Flickr
Created: May 8, 2018
Share: yes
Views: 238
Tags:
 
Results in this report
 
Data sets in this report
 
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.
APoat Project 3
Mail   Print   Twitter   Facebook

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]
Right click to copy

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]
To analyze this data, please sign in.

HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=77584">APoat Project 3</A>

Comments
Want to comment? Subscribe
Already a member? Sign in.
By apoatkisomi
Apr 20, 2018

Yo

Always Learning