Exam 8: Trendlines and Regression Analysis
Exam 1: Introduction to Labour Market Economics62 Questions
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Exam 6: Sampling and Estimation55 Questions
Exam 7: Statistical Inference46 Questions
Exam 8: Trendlines and Regression Analysis58 Questions
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While checking for linearity by examining the residual plot, the residuals must:
(Multiple Choice)
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Why is regression analysis necessary in business? What categories of regression models are used?
(Essay)
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For an independent variable Y, the error associated with the ith observation is:
(Multiple Choice)
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The standard error may be assumed to be large if the data are clustered close to the regression line.
(True/False)
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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.
(Essay)
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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.
(Essay)
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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).
-What is the value of the coefficient b1?
(Multiple Choice)
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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?
(Multiple Choice)
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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).
-Which of the following is true about Excel outputs Multiple R?
(Multiple Choice)
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Which of the following is true about multiple linear regression?
(Multiple Choice)
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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).
-Which of the following generates a scatter chart in Excel with the values predicted by the regression model included?
(Multiple Choice)
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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
(Multiple Choice)
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An) is an extreme value that is different from the rest of the data.
(Multiple Choice)
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provide information about the unknown values of the true regression coefficients, accounting for sampling error.
(Multiple Choice)
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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?
(Multiple Choice)
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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).
-What is the value of the coefficient b0?
(Multiple Choice)
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Which of the following helps in evaluation of autocorrelation?
(Multiple Choice)
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