# Managing Employee Retention Essay

Data Quality: It is vital to make sure the info you use is valid. An outlier info point may dramatically decrease the fit of the model, so it is critical that bad data points always be moved.

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When it comes to the Store24 data, we all will imagine all managers have some experience, so take away any info points the place that the manager encounter is absolutely no. Regression Examination First, you should run a total model intended for profit which includes both period and web page location related variables. Tenure related variables are MTenure and CTenure.

Site location related variables are populace, number of rivals, street level visibility, pedestrian access, form of neighborhood, and whether a store stays wide open 24 hours. These variables are also defined on page 4 of the watch case Store24 (A). First you should determine if almost all variables play a role in our knowledge of the model.

Use the p-value for each pourcentage to decide (a value of 0. 05 is typically accustomed to decide whether a variable must be included). If perhaps any variables are not significant, copy the worksheet, remove the variable and run the regression once again. In your survey you should describe how very well the model fits (e. g. explains the factors that effect profit). It is not commonly comprehended how to evaluate the impact with the independent variables.

The factors have to have a p-value that may be significant (otherwise we can’t say there exists a relationship), yet how tiny the p-value is does not tell us how important the changing is. A good way to understand the effects of the varying is to locate the range of values usually it takes, and then multiply that selection by the benefit of the pourcentage. That lets you know the maximum effects that the changing can have got on the issue. Next, you should address Jeff Hart’s hypothesis that supervisor tenure does not have a linear influence on profitabilitythat is definitely, that there are diminishing returns to manager tenure.

To test this, copy the worksheet, in that case add the variable MTenure2. To do this, put in a column next for the Tenure line, and then your formula =D2^2 in cell E2 and copy this formula for the rest of the cellular material. Now run a regression on this new set of variables and see if the MTenure2 varying is statistically significant. Points to Submit: You are to create a memo via Sarah Jenkins to Paul Doucette outlining your benefits. You should explain your regression results: 2. How well the style predicts retail store performance (r2, p-value of variables and the impact) * How your MTenure2 analyzes Tom Hart’s hypothesis.

Does it support his hypothesis? You must include a chart that displays contribution to profit of employee period over the variety of values in the data arranged. The x-axis should be supervisor tenure, as well as the y-axis ought to be the predicted contribution to store income.

Finally, your memo will need to give Paul Doucette a concrete recommendation as to just how much Store24 will need to invest in any kind of new supervisor retention programs.

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