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 Rsq= 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 Rsq = 0.51200803 Estimate of error standard deviation: 0.37438843
Parameter estimates:
Parameter  Estimate  Std. Err.  Alternative  DF  TStat  Pvalue 

Intercept  1.0727446  0.13519836  ≠ 0  226  7.9345978  <0.0001  Slope  0.61922928  0.040212884  ≠ 0  226  15.398778  <0.0001 
Analysis of variance table for regression model:
Source  DF  SS  MS  Fstat  Pvalue 

Model  1  33.236659  33.236659  237.12237  <0.0001  Error  226  31.677673  0.14016669    Total  227  64.914332    

Result 2: !Simple Linear Regression [Info]
Data set 1. Body Image Data Set
[Info]
Owner: achato2317@gmail.com
Source: CMU OLI
Tags:
Description: A student survey was conducted at a major university. Data were collected from a random sample of 239 undergraduate students, and the information that was collected included physical characteristics (such as height, handedness, etc.), study habits, academic performance and attitudes, and social behaviors. In this exercise, we will focus on exploring relationships between some of those variables. Note that empty boxes signify that this observation is not available (this is known as a 'missing value').Variables:
Variables
Gender  Male or Female
Height  Selfreported height (in inches)
GPA  Student's cumulative college GPA
HS_GPA  Student's high school GPA (senior year)
Seat  Typical classroom seat location (F = Front, M = Middle, B = Back)
WtFeel  Does the student feel that he/she is: Underweight, About Right, Overweight
Cheat  Would the tell the instructor if he/she saw somebody cheating on exam? (No or Yes)
Size: 7KB
Delimiter: space
Last edited: Mar 7, 2016
To analyze this data, please sign in.
HTML link:
<A href="https://www.statcrunch.com/5.0/viewreport.php?reportid=58533">a.serrano project 2</A>
Already a member? Sign in.