Exam 8: Trendlines and Regression Analysis

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While checking for linearity by examining the residual plot, the residuals must:

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Why is regression analysis necessary in business? What categories of regression models are used?

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For an independent variable Y, the error associated with the ith observation is:

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The standard error may be assumed to be large if the data are clustered close to the regression line.

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Use the data given below to answer the following questions). Following is an extract from a firm's database detailing the number of hours spent on the job by employees and their corresponding pay. Note: Assume a level of significance of 0.05 wherever necessary.) Hours spent on the job Salary \ 4 340 12 850 7 570 5 470 11 820 8 610 9 630 13 900 10 800 6 480 -Interpret the confidence intervals.

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Use the data given below to answer the following questions). Following is an extract from a firm's database detailing the number of hours spent on the job by employees and their corresponding pay. Note: Assume a level of significance of 0.05 wherever necessary.) Hours spent on the job Salary \ 4 340 12 850 7 570 5 470 11 820 8 610 9 630 13 900 10 800 6 480 -Draw conclusions for test of hypothesis for regression coefficients.

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Which of the following is true about multicollinearity?

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Use the data given below to answer the following questions). Following is an extract from the database of a construction company. The table shows the height of walls in feet and the cost of raising them. The estimated simple linear regression equation is given as Ŷ = b0 + b1X. Hint: Use Excel functions).  Height ft)  Cost $) 46703430781091100679088805760111200\begin{array} { | r | r | } \hline \text { Height ft) } & \text { Cost \$) } \\\hline 4 & 670 \\\hline 3 & 430 \\\hline 7 & 810 \\\hline 9 & 1100 \\\hline 6 & 790 \\\hline 8 & 880 \\\hline 5 & 760 \\\hline 11 & 1200 \\\hline\end{array} -What is the value of the coefficient b1?

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The following table exhibits the age of antique furniture and the corresponding prices. Use the table to answer the following questions). Hint: Use scatter diagram and the Excel Trendline tool where necessary). Number of years Value \ 79 930 91 1010 83 970 159 1950 134 1610 210 2880 89 980 178 2010 124 1370 72 900 -Which of the following mathematical functions, used in predictive analytical models, is represented by the formula y = ax3 + bx2 + cx + d?

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Use the data given below to answer the following questions). Following is an extract from the database of a construction company. The table shows the height of walls in feet and the cost of raising them. The estimated simple linear regression equation is given as Ŷ = b0 + b1X. Hint: Use Excel functions).  Height ft)  Cost $) 46703430781091100679088805760111200\begin{array} { | r | r | } \hline \text { Height ft) } & \text { Cost \$) } \\\hline 4 & 670 \\\hline 3 & 430 \\\hline 7 & 810 \\\hline 9 & 1100 \\\hline 6 & 790 \\\hline 8 & 880 \\\hline 5 & 760 \\\hline 11 & 1200 \\\hline\end{array} -Which of the following is true about Excel outputs Multiple R?

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Standard residuals:

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Which of the following is true about multiple linear regression?

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Use the data given below to answer the following questions). Following is an extract from the database of a construction company. The table shows the height of walls in feet and the cost of raising them. The estimated simple linear regression equation is given as Ŷ = b0 + b1X. Hint: Use Excel functions).  Height ft)  Cost $) 46703430781091100679088805760111200\begin{array} { | r | r | } \hline \text { Height ft) } & \text { Cost \$) } \\\hline 4 & 670 \\\hline 3 & 430 \\\hline 7 & 810 \\\hline 9 & 1100 \\\hline 6 & 790 \\\hline 8 & 880 \\\hline 5 & 760 \\\hline 11 & 1200 \\\hline\end{array} -Which of the following generates a scatter chart in Excel with the values predicted by the regression model included?

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The following table exhibits the age of antique furniture and the corresponding prices. Use the table to answer the following questions). Hint: Use scatter diagram and the Excel Trendline tool where necessary). Number of years Value \ 79 930 91 1010 83 970 159 1950 134 1610 210 2880 89 980 178 2010 124 1370 72 900 -are mathematical functions used in predictive analytical models which define phenomena that increase at a specific rate, and is represented by the formula y = axb

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An) is an extreme value that is different from the rest of the data.

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provide information about the unknown values of the true regression coefficients, accounting for sampling error.

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Categorical variables that have been coded are called .

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The following table exhibits the age of antique furniture and the corresponding prices. Use the table to answer the following questions). Hint: Use scatter diagram and the Excel Trendline tool where necessary). Number of years Value \ 79 930 91 1010 83 970 159 1950 134 1610 210 2880 89 980 178 2010 124 1370 72 900 -Which of the following is true of linear functions used in predictive analytical models?

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Use the data given below to answer the following questions). Following is an extract from the database of a construction company. The table shows the height of walls in feet and the cost of raising them. The estimated simple linear regression equation is given as Ŷ = b0 + b1X. Hint: Use Excel functions).  Height ft)  Cost $) 46703430781091100679088805760111200\begin{array} { | r | r | } \hline \text { Height ft) } & \text { Cost \$) } \\\hline 4 & 670 \\\hline 3 & 430 \\\hline 7 & 810 \\\hline 9 & 1100 \\\hline 6 & 790 \\\hline 8 & 880 \\\hline 5 & 760 \\\hline 11 & 1200 \\\hline\end{array} -What is the value of the coefficient b0?

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Which of the following helps in evaluation of autocorrelation?

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