StatCrunch logo (home)

Report Properties

from Flickr
Owner: achato2317
Created: Apr 21, 2016
Share: yes
Views: 579
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.
a.serrano project 2
Mail   Print   Twitter   Facebook

agustin serrano 

 My report is comparing High School GPA to College GPA based on female and male.I got my Data off StatCrunch. The sample size was 228 students. AS it is shown in my results, the x/independent variable is the HS GPA and the y/dependent is the College GPA. Hence the HS GPA will help us conclude what the College GPA will be.

The regression equation for the project is GPA=1.07277446 + 0.61922928 HS GPS. This is a good perdictor because it helps give me a vivid picture of the relationship between GPA and HS GPS. The points are scattered on a line and widely distributed. It gives the GPA of 1.0727446 and with a postive slope of 0.61922928. The correlation coefficient is 0.71554736 which shows a positve relationship because it is close to 1 but not greater .8 and it is positive going in the upright postion. If R=0.71554736 then R-sq= 0.51200803 and has the estimate of error of standard deviation is 0.37438843

The report compares HS GPA to College GPA for 228 students picked at random sorted by females and males. It was supported by a positive slope of 0.61922928. It has a clear regression of 0.71554736.The higher the HS GPA the better the College GPA.      

Result 1: Simple Linear Regression   [Info]
Simple linear regression results:
Dependent Variable: GPA
Independent Variable: HS GPA
GPA = 1.0727446 + 0.61922928 HS GPA
Sample size: 228
R (correlation coefficient) = 0.71554736
R-sq = 0.51200803
Estimate of error standard deviation: 0.37438843

Parameter estimates:
ParameterEstimateStd. Err.AlternativeDFT-StatP-value
Intercept1.07274460.13519836 ≠ 02267.9345978<0.0001
Slope0.619229280.040212884 ≠ 022615.398778<0.0001

Analysis of variance table for regression model:

Result 2: !Simple Linear Regression   [Info]
Right click to copy

Data set 1. Body Image Data Set   [Info]
To analyze this data, please sign in.

HTML link:
<A href="">a.serrano project 2</A>

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

Always Learning