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Complete the following requirements in the form of a 3-page report:
TEST #1: Regression Analysis- Benefits & Intrinsic Perform the following Regression Analysis, using a .05 significance level Run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the INTRINSIC job satisfaction column of all data points in the AIU data set as the dependent variable. Copy and paste the results of the output to your report in Microsoft Word. Create a graph with the trendline displayed the 3 regression. Copy and paste the results of the output to your report in Microsoft Word.
TEST #2: Regression Analysis- Benefits & Extrinsic Perform the following Regression Analysis, using a .05 significance level Run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the EXTRINSIC job satisfaction column of all data points in the AIU data set as the dependent variable. Copy and paste the results of the output to your report in Microsoft Word. Create a graph with the trendline displayed for the regression. Copy and paste the results of the output to your report in Microsoft Word.
TEST #3: Regression Analysis- Benefits & Overall Job Satisfaction Perform the following Regression Analysis, using a .05 significance level Run a regression analysis using the BENEFITS column of all data points in the AIU data set as the independent variable and the OVERALL job satisfaction column of all data points in the AIU data set as the dependent variable. Copy and paste the results of the output to your report in Microsoft Word. Create a graph with the trendline displayed for the regression. Copy and paste the results of the output to your report in Microsoft Word.
Overview of the Regressions Complete the table with the following information: Dependent Variable Slope Y-intercept Equation Intrinsic Extrinsic Overall State the slope and the y-intercept for the three regressions. State the least squares regression line equations for the threes regressions. State the R-squared value for each of the regressions. Analysis of the Regressions Make very specific comments and give reasons regarding any similarities or differences in the output results. Which regression produces the strongest correlation coefficient result? Why? What does it mean to a manager?
A sales man normally closes on 80% of his presentations. Assuming the presentations are independent, find the probability of each of the following: a) he fails to close for the first time on his fifth attempt, b) he closes his presentation on his fou..
Describe where the satisfaction ratings seem to be concentrated. Describe and interpret the shape of the distribution of ratings. Write out the eight classes used to construct this histogram.
Assume 7 students are assigned into 3 indistinguishable offices. How many ways can this happen under each condition? 1. assign students into groups of 1, 1, and 5, which means 2 students have their own offices, and the ways can other 5 share an offic..
quantitative analysis for decision making course assignment. 1- graphical solutions in linear programming have limited
Write a DFF model with asynchronous clear, asynchronous set, synchronous clear and synchronous set. Asynchronous controls have priority over synchronous controls. In addition, synchronous clear has higher priority over synchronous set. asynchronous s..
Reflection to date
The bad debt ratio for a financial institution is defined to be the dollar value of loans defaulted divided by the total dollar value of all lonas made. A random sample of seven Ohio banks is selected. The bad debt ratios (written as percentages) for..
If you ran the regression of GPA on hours watched omitting whichever of the 4 points above you deemed most influential, what do you expect would happen to the slope coefficient
a study was conducted to determine the impact of social media use on student learning. a total of 103 students taking a
Test your hypothesis using the "ONE SAMPLE T-TEST" command (go to ANALYZE>COMPARE MEANS>ONE SAMPLE T-TEST) to test whether there is a significant difference between the sample mean and the population mean of 24.5 (this is your TEST VALUE). Click o..
Do the independent variables correlate statistically significantly and practicallywith the dependent variable and is collinearity between the independent variables a concern?
5. A laboratory weights filters from a coal mine to measure the amount of dust in the mine atmosphere. Repeated measurements of the weight of dust on the same filter has a standard deviation of σ = 0.08 milligram (mg) and mean 123 mg.
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