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At times we can generate a regression equation to explain outcomes. For example, an employees salary can often be explained by their pay grade, appraisal rating, education level, etc. What variables might explain or predict an outcome in your departm - Admission/Application Essay Example

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It uses historical information of both the dependent and independent variables so as to forecast the future estimates of the dependent variable(s). Thus, regression tends to model the previous relationships…
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At times we can generate a regression equation to explain outcomes. For example, an employees salary can often be explained by their pay grade, appraisal rating, education level, etc. What variables might explain or predict an outcome in your departm
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"At times we can generate a regression equation to explain outcomes. For example, an employees salary can often be explained by their pay grade, appraisal rating, education level, etc. What variables might explain or predict an outcome in your departm"

Download file to see previous pages Therefore, to develop or fit a regression model for predicting total monthly sales, data for the two variables (sales and expenditure on advertising) have to be collected.
From the above model, sales’ is the dependent variable whereas advertising is the independent variable. This implies that the expenditure on advertising fully determines the sales. In addition, when expenditure on advertising is zero, the organization’s sales will be 71.9560439 (in $1000). Thus, any additional unit of expenditure on advertising results to an increase in the total ...Download file to see next pagesRead More
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