StatCrunch logo (home)

Report Properties
Created: Apr 23, 2019
Share: yes
Views: 19
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.
Test Supplement #4
Mail   Print   Twitter   Facebook

Result 1: Age&Height Simple Linear Regression   [Info]

Simple linear regression results:


Dependent Variable: Height
Independent Variable: Age
Height = 61.14076 + 0.051136703 Age
Sample size: 40
R (correlation coefficient) = 0.089829063
R-sq = 0.0080692606
Estimate of error standard deviation: 1.8826032

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept61.140761.8838384 ≠ 03832.455416<0.0001
Slope0.0511367030.091973926 ≠ 0380.55599130.5815

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model11.09560391.09560390.309126320.5815
Error38134.67943.5441946
Total39135.775

Result 2: Height & Shoe Size Simple Linear Regression   [Info]

Simple linear regression results:


Dependent Variable: Shoe Size
Independent Variable: Height
Shoe Size = -11.571718 + 0.30473209 Height
Sample size: 40
R (correlation coefficient) = 0.47083354
R-sq = 0.22168423
Estimate of error standard deviation: 1.0793115

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept-11.5717185.7616026 ≠ 038-2.008420.0517
Slope0.304732090.092626855 ≠ 0383.28988930.0022

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model112.6082912.6082910.8233710.0022
Error3844.266711.1649134
Total3956.875

Result 3: Age & Shoe Size Simple Linear Regression   [Info]

Simple linear regression results:


Dependent Variable: Shoe Size
Independent Variable: Age
Shoe Size = 5.8966525 + 0.073095053 Age
Sample size: 40
R (correlation coefficient) = 0.19839071
R-sq = 0.039358875
Estimate of error standard deviation: 1.1990837

Parameter estimates:


ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept5.89665251.1998705 ≠ 0384.9144076<0.0001
Slope0.0730950530.058580819 ≠ 0381.24776430.2198

Analysis of variance table for regression model:


SourceDFSSMSF-statP-value
Model12.2385362.2385361.55691570.2198
Error3854.6364641.4378017
Total3956.875

Data set 1. Age, Height, Shoe Size for 40 Trinity Women   [Info]
To analyze this data, please sign in.

HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=87015">Test Supplement #4</A>

Comments
Want to comment? Subscribe
Already a member? Sign in.

Always Learning