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Instruction 16-6
Given below are results from the regression analysis on 40 observations where the dependent variable is the number of weeks a worker is unemployed due to a layoff (Y) and the independent variables are the age of the worker (X1), the number of years of education received (X2), the number of years at the previous job (X3), a dummy variable for marital status (X4: 1 = married, 0 = otherwise), a dummy variable for head of household (X5: 1 = yes, 0 = no) and a dummy variable for management position (X6: 1 = yes, 0 = no).
The coefficient of multiple determination (R2j) the regression model using each of the 6 variables Xj as the dependent variable and all other X variables as independent variables are, respectively, 0.2628, 0.1240, 0.2404, 0.3510, 0.3342 and 0.0993.
The partial results from best-subset regression are given below:
-Referring to Instruction 16-6,there is reason to suspect collinearity between some pairs of predictors based on the values of the variance inflationary factor.
Growth
An increase in the economic value of a company or economy, often measured by variables such as income, sales, or GDP.
Sales
The total amount of goods or services that are sold within a particular period of time.
Operating Budget
A detailed projection of all estimated income and expenses based on forecasted sales revenue during a given period, usually a fiscal year.
Cash Budget
A detailed plan that estimates cash inflows and outflows over a certain period, helping businesses manage their cash flow and liquidity.
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