Question

What do the semipartial (part) correlations tell you about the variables in a regression equation? Y'(Grade)...

What do the semipartial (part) correlations tell you about the variables in a regression equation?

Y'(Grade) = .927+.647(GPA) - .073 (Missed Classes) + .069 (Hours Studying)

PART
GPA .244
Missed classes -.139
Hours studying .194
Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

Partial correlation is a measure of the strength and direction of a linear relationship between two continuous variables whilst controlling for the effect of one or more other continuous variables (also known as 'covariates' or 'control' variables).

All these partial numbers tell us that correlation between variables and Grade is very less.

Although, GPA, Missed classes and Hours studies should give us a healthy correlation but when all of these combined

Individually, these are very less correlated to Grades.

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
What do the semipartial (part) correlations tell you about the variables in a regression equation? Y'(Grade)...
What do the semipartial (part) correlations tell you about the variables in a regression equation? Y'(Grade) = .927+.647(GPA) - .073 (Missed Classes) + .069 (Hours Studying) PART GPA .244 Missed classes -.139 Hours studying .194 Class - Research Methods and Statistics PSYC 210
You are given the following bivariate data about hours spent studying versus test grade in percent....
You are given the following bivariate data about hours spent studying versus test grade in percent. Below is the data collected from 5 different students. Studytime(hr) | test Grade(%) 2.0 72.4 2.5 77.0 3.5 86.0 4.0 94.8 5.5 97.1 Let x be the hour spent studying and y be the test grade in percent. Using the data above, we have the following: n = 5, x ̄ = 3.5, y ̄ = 85.46, sx = 1.369306, sy = 10.78369, r...
1.) You are interested in predicting the final grade of students in a business course. You...
1.) You are interested in predicting the final grade of students in a business course. You collect data on the number of hours studied and final grade for 8 students. Using the data provided below, find the predicted linear regression equation. Do this long hand on notebook paper.  You must show all of your calculations. Take calculations out to the 4th decimal place. Do not round up or round down. Your answers must clearly show your answers for bo, b1, and...
A business statistics professor would like to develop a regression model to predict the final exam...
A business statistics professor would like to develop a regression model to predict the final exam scores for students based on their current GPAs, the number of hours they studied for the exam, the number of times they were absent during the semester, and their genders. The data for these variables are given in the accompanying table. Complete parts a through d below. Score   GPA   Hours   Absences   Gender 87   3.75   2.0   0   Female 77   3.20   4.5   3   Male 82   3.16  ...
. What do the following r values tell us about the relationship of two variables? (give...
. What do the following r values tell us about the relationship of two variables? (give 2 descriptions) r = 1.00 ___________________ r = -0.95____________________ r = 0.30 ____________________
On section 3.2 Homework, Question 9, how can you tell what f(-3) equals? Do you just...
On section 3.2 Homework, Question 9, how can you tell what f(-3) equals? Do you just plug -3 into all of the x variables in the equation?
Answer the following questions: What do you expect the relationship between your independent variables and dependent...
Answer the following questions: What do you expect the relationship between your independent variables and dependent variables will be? Which model would you select as the best model and why did you select it? Which are the dummy variables for each equation? Multiple Regression Equation 1: Daily Gross Revenue=766.981 + 2.977 * Daily Tour Income – 12.31 * Number of Tourists Multiple Regression Equation 2: Daily Gross Revenue=1111.8 – 151.22*Weekend+2.933*Daily Tour Income –12.04*Number of Tourists
What do the relative density and relative freqency values tell you about the diversity of plants...
What do the relative density and relative freqency values tell you about the diversity of plants in your group's transects?
1. Given the following observations of quantitative variables X and Y: x= 0, 1, 2, 3,...
1. Given the following observations of quantitative variables X and Y: x= 0, 1, 2, 3, 15 y= 3, 4, 6, 10, 0 a. Make a scatterplot of the data on the axes. Circle the most influential observation. (4 points)    (b)   Determine the LSRL of Y on X. Draw this line carefully on your scatterplot. (4 points) (c)   What is the definition of a regression outlier? (4 points) (d) Which data point is the biggest regression outlier? (4 points)...
Instructions: Please apply what you know about correlations (from class and from our text) to complete...
Instructions: Please apply what you know about correlations (from class and from our text) to complete the following questions, after reading the scenario below. Scenario: A social worker is interested in studying the relationship between participating in a housing program and ability to obtain employment. To complete this study, the social worker obtains the data from seven (7) housing programs around California and how many were subsequently able to get employment within a 12-month period. Below are the results of...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT