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Sun Coast Remediation Data Set Discussion
Data Analysis: Hypothesis Testing
Use the Sun Coast Remediation data set to conduct a correlation analysis, simple regress ...
Sun Coast Remediation Data Set Discussion
Data Analysis: Hypothesis Testing
Use the Sun Coast Remediation data set to conduct a correlation analysis, simple regression analysis, and multiple regression analysis using the correlation tab, simple regression tab, and multiple regression tab respectively. The statistical output tables should be cut and pasted from Excel directly into the final project document. For the regression hypotheses, display and discuss the predictive regression equations.
Correlation: Hypothesis Testing
Restate the hypotheses:
Example:
Ho1: There is no statistically significant relationship between height and weight.
Ha1: There is a statistically significant relationship between height and weight.
Enter data output results from Excel Toolpak here.
Interpret and explain the correlation analysis results below the Excel output. Your explanation should include: r, r2, alpha level, p value, and rejection or acceptance of the null hypothesis and alternative hypothesis.
Example:
The Pearson correlation coefficient of r = .600 indicates a moderately strong positive correlation. This equates to an r2 of .36, explaining 36% of the variance between the variables.
Using an alpha of .05, the results indicate a p value of .023 < .05. Therefore, the null hypothesis is rejected, and the alternative hypothesis is accepted that there is a statistically significant relationship between height and weight.
Note: Excel data analysis Toolpak does not automatically calculate the p value when using the correlation function. As a workaround, the data should also be run using the regression function. The Multiple R is identical to the Pearson r in simple regression, R Square is shown, and the p value is generated. Be sure to show your results using both the correlation function and simple regression function.
Simple Regression: Hypothesis Testing
Restate the hypotheses:
Ho2:
Ha2:
Enter data output results from Excel Toolpak here.
Interpret and explain the simple regression analysis results below the Excel output. Your explanation should include: multiple R, R square, alpha level, ANOVA F value, accept or reject the null and alternative hypotheses for the model, statistical significance of the x variable coefficient, and the regression model as an equation with explanation.
Multiple Regression: Hypothesis Testing
Restate the hypotheses:
Ha3:
Ha3:
Enter data output results from Excel Toolpak here.
Interpret and explain the simple regression analysis results below the Excel output. Your explanation should include: multiple R, R square, alpha level, ANOVA F value, accept or reject the null and alternative hypotheses for the model, statistical significance of the x variable coefficients, and the regression model as an equation with explanation.
6 pages
Distributions
The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, whi ...
Distributions
The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, which represent the observed ...
9 pages
Survival Analysis And Dat Visualization Attachment 2
1. A Cox proportional hazards model is estimated relating time to psychiatric hospitalization in patients with severe ment ...
Survival Analysis And Dat Visualization Attachment 2
1. A Cox proportional hazards model is estimated relating time to psychiatric hospitalization in patients with severe mental illness. The risk factors ...
5 pages
M4 Homework
This module’s homework problems will cover the following topics: Complete the following problems from the Basic Biostati ...
M4 Homework
This module’s homework problems will cover the following topics: Complete the following problems from the Basic Biostatistics (Gerstman) textbook:
Dividing Polynomials Practice, algebra homework help
Simplify the expression. Simplify the expressionSimplify the expression Which of the following division problems correspon ...
Dividing Polynomials Practice, algebra homework help
Simplify the expression. Simplify the expressionSimplify the expression Which of the following division problems corresponds to the following synthetic model?Which of the following shows the solution when the following synthetic division model is set up?Which of the following shows how you would correctly set up the following problem to divide using synthetic division.Simplify the expression. Simplify the expression.x3x2x1Simplify the expression.Simplify the expression.3ab - 18a2b33ab - 6b23a3/2b2 - 6ab36ab - 15ab3
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Most Popular Content
Sun Coast Remediation Data Set Discussion
Data Analysis: Hypothesis Testing
Use the Sun Coast Remediation data set to conduct a correlation analysis, simple regress ...
Sun Coast Remediation Data Set Discussion
Data Analysis: Hypothesis Testing
Use the Sun Coast Remediation data set to conduct a correlation analysis, simple regression analysis, and multiple regression analysis using the correlation tab, simple regression tab, and multiple regression tab respectively. The statistical output tables should be cut and pasted from Excel directly into the final project document. For the regression hypotheses, display and discuss the predictive regression equations.
Correlation: Hypothesis Testing
Restate the hypotheses:
Example:
Ho1: There is no statistically significant relationship between height and weight.
Ha1: There is a statistically significant relationship between height and weight.
Enter data output results from Excel Toolpak here.
Interpret and explain the correlation analysis results below the Excel output. Your explanation should include: r, r2, alpha level, p value, and rejection or acceptance of the null hypothesis and alternative hypothesis.
Example:
The Pearson correlation coefficient of r = .600 indicates a moderately strong positive correlation. This equates to an r2 of .36, explaining 36% of the variance between the variables.
Using an alpha of .05, the results indicate a p value of .023 < .05. Therefore, the null hypothesis is rejected, and the alternative hypothesis is accepted that there is a statistically significant relationship between height and weight.
Note: Excel data analysis Toolpak does not automatically calculate the p value when using the correlation function. As a workaround, the data should also be run using the regression function. The Multiple R is identical to the Pearson r in simple regression, R Square is shown, and the p value is generated. Be sure to show your results using both the correlation function and simple regression function.
Simple Regression: Hypothesis Testing
Restate the hypotheses:
Ho2:
Ha2:
Enter data output results from Excel Toolpak here.
Interpret and explain the simple regression analysis results below the Excel output. Your explanation should include: multiple R, R square, alpha level, ANOVA F value, accept or reject the null and alternative hypotheses for the model, statistical significance of the x variable coefficient, and the regression model as an equation with explanation.
Multiple Regression: Hypothesis Testing
Restate the hypotheses:
Ha3:
Ha3:
Enter data output results from Excel Toolpak here.
Interpret and explain the simple regression analysis results below the Excel output. Your explanation should include: multiple R, R square, alpha level, ANOVA F value, accept or reject the null and alternative hypotheses for the model, statistical significance of the x variable coefficients, and the regression model as an equation with explanation.
6 pages
Distributions
The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, whi ...
Distributions
The mean temperature for the month of July in Boston, Massachusetts is 73 degrees Fahrenheit. Plot the following data, which represent the observed ...
9 pages
Survival Analysis And Dat Visualization Attachment 2
1. A Cox proportional hazards model is estimated relating time to psychiatric hospitalization in patients with severe ment ...
Survival Analysis And Dat Visualization Attachment 2
1. A Cox proportional hazards model is estimated relating time to psychiatric hospitalization in patients with severe mental illness. The risk factors ...
5 pages
M4 Homework
This module’s homework problems will cover the following topics: Complete the following problems from the Basic Biostati ...
M4 Homework
This module’s homework problems will cover the following topics: Complete the following problems from the Basic Biostatistics (Gerstman) textbook:
Dividing Polynomials Practice, algebra homework help
Simplify the expression. Simplify the expressionSimplify the expression Which of the following division problems correspon ...
Dividing Polynomials Practice, algebra homework help
Simplify the expression. Simplify the expressionSimplify the expression Which of the following division problems corresponds to the following synthetic model?Which of the following shows the solution when the following synthetic division model is set up?Which of the following shows how you would correctly set up the following problem to divide using synthetic division.Simplify the expression. Simplify the expression.x3x2x1Simplify the expression.Simplify the expression.3ab - 18a2b33ab - 6b23a3/2b2 - 6ab36ab - 15ab3
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