Statistics for Economics

Determine if there is a linear relationship between ANNUAL HOUSING EXPENSES and ANNUAL HOUSEHOLD DONATIONS. More precisely, you want to determine if ANNUAL HOUSEHOLD DONATIONS depends on ANNUAL HOUSING EXPENSES.To reach an answer to this question, you will conduct a simple linear regression analysis using your own Housing and Donations data file. This analysis includes a scatter diagram and a table of residuals, along with the ANOVA and regression output tables. You’ll also need a plot to show normality. You’ll use a 95% Confidence Level, i.e. 5% significance level. You can generate the output in one of these two ways:

Option 1: Use PH-Stat>Regression>Simple Linear Regression and select all options EXCEPT the Durbin Watson Statistic.Then, use PH-Stat>Probability>Normal Probability Plot to plot the residuals.

Option 2: Use the Excel Data Analysis Tool> Regression; you will then need to generate a scatter diagram and residual plot using the Chart tools in Excel

Note well: If you must choose Option 2 and you don’t already have the Data Analysis Tool Pak in your version of Excel, you will need to add it. Typically, this can be done in Excel by going to File/Options/Add-ins/Selecting Analysis Toolpak and clicking OK.

Output to submit: One Excel Workbook that includes worksheets with the following information:

Regression Output (Regression Statistics, ANOVA, and Coefficients tables; table of residuals)
Scatter diagram
Plot of residuals vs. the independent variable
Plot to show normality of residuals

Sample Solution

n reality, inferring that a mercy towards ladies is available in the Criminal Justice System.

Campbell set forward proof that female suspects were unmistakably more probable than male suspects to be given alerts instead of being arraigned. As indicated by authentic measurements from 1999, 30.1 percent of guys recorded as culpable were given alerts and about 70 percent were sentenced. In contrast with this, 47 percent of female guilty parties were advised and only 50 percent were indicted. (Home Office, 2000b).

Hillary Allen additionally did comparative examinations, putting together an assessment with respect to criminal insights from 1987, the aftereffects of which further upheld the Chivalry Thesis. 72 percent of ladies saw as blameworthy of indictable motoring offenses were given fines, contrasted with an altogether lower level of 54 percent for male guilty parties. It could be contended that this colossal contrast in rate came about basically from a higher extent of men being given jail sentences than ladies. (Haralambos and Holborn, 2008). Additional proof

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