B. The table is the data of 10 students with their High school GPA (X),College GPA (Y), and SAT score (Z).SAT ScoreGPA HS3.46GPA College3.1475.400074.8496.523.493.033.212.801.683.393.3677.882.7666.0480.672.772.282.793.3778.813.154.1596.503.683.463.433.373.3689.1671.1580.703.013.383.0483.444.154.0783.853.073.153.322.792.8972.823.4771.912.002.093.543.8863.7257.98105.203.913.79104.603.543.7377.38 1) The coefficient of correlation between2) GPA_HS and GPA College. Attach the SPSS output.3) Interpret your result on 1) using the coefficient of determination4) Using SPSS, graph the scatterplot between the GPA HS (x) and GPA_College(y). Paste the SPSS graph in the space below.

Given :1. The coefficient of correlation between

Answered: 1) The coefficient of correlation…

Math

Statistics

1) The coefficient of correlation between

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

B. The table is the data of 10 students with their High school GPA (X),
College GPA (Y), and SAT score (Z).
SAT Score
GPA HS
3.46
GPA College
3.14
75.40
0074.84
96.52
3.49
3.03
3.21
2.80
1.68
3.39
3.36
77.88
2.76
66.04
80.67
2.77
2.28
2.79
3.37
78.81
3.15
4.15
96.50
3.68
3.46
3.43
3.37
3.36
89.16
71.15
80.70
3.01
3.38
3.04
83.44
4.15
4.07
83.85
3.07
3.15
3.32
2.79
2.89
72.82
3.47
71.91
2.00
2.09
3.54
3.88
63.72
57.98
105.20
3.91
3.79
104.60
3.54
3.73
77.38

1) The coefficient of correlation between
2) GPA_HS and GPA College. Attach the SPSS output.
3) Interpret your result on 1) using the coefficient of determination
4) Using SPSS, graph the scatterplot between the GPA HS (x) and GPA_
College(y). Paste the SPSS graph in the space below.

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