Exam 14: Simple Linear Regression
Exam 1: Data and Statistics66 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Displays69 Questions
Exam 3: Descriptive Statistics: Numerical Measures103 Questions
Exam 4: Introduction to Probability86 Questions
Exam 5: Discrete Probability Distributions68 Questions
Exam 6: Continuous Probability Distributions74 Questions
Exam 7: Sampling and Sampling Distributions85 Questions
Exam 8: Interval Estimation115 Questions
Exam 9: Hypothesis Tests81 Questions
Exam 10: Inference About Means and Proportions With Two Populations21 Questions
Exam 11: Inferences About Population Variances72 Questions
Exam 12: Tests of Goodness of Fit, Independence, and Multiple Proportions37 Questions
Exam 13: Experimental Design and Analysis of Variance120 Questions
Exam 14: Simple Linear Regression64 Questions
Exam 15: Multiple Regression43 Questions
Exam 16: Regression Analysis: Model Building36 Questions
Exam 17: Time Series Analysis and Forecasting47 Questions
Exam 18: Nonparametric Methods18 Questions
Exam 19: Statistical Methods for Quality Control51 Questions
Exam 20: Decision Analysis29 Questions
Exam 21: Sample Survey33 Questions
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If the coefficient of determination is equal to 1, then the coefficient of correlation _____.
(Multiple Choice)
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The interval estimate of the mean value of y for a given value of x is the _____.
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The primary tool or measure for determining whether the assumed regression model is appropriate is _____.
(Multiple Choice)
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In a residual plot against x that does NOT suggest we should challenge the assumptions of our regression model, we would expect to see a _____.
(Multiple Choice)
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A measure of the strength of the relationship between two variables is the _____.
(Multiple Choice)
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Regression analysis is a statistical procedure for developing a mathematical equation that describes how _____.
(Multiple Choice)
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A company has recorded data on the weekly sales for its product (y) and the unit price of the competitor's product (x). The data resulting from a random sample of seven weeks follows. Use Excel to a. Compute a confidence interval for expected sales for all weeks when the competitor's price is .
b. Compute a prediction interval for sal es for a week when the competitor's price is .
Week Price Sales 1 0.33 20 2 0.25 14 3 0.44 22 4 0.40 21 5 0.35 16 6 0.39 19 7 0.29 15
(Essay)
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The standardized residual is provided by dividing each residual by its _____.
(Multiple Choice)
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Application of the least squares method results in values of the y-intercept and the slope that minimizes the sum of the squared deviations between the _____.
(Multiple Choice)
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In regression analysis, the variable that is being predicted is the _____.
(Multiple Choice)
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Given below are seven observations collected in a regression study on two variables, x (independent variable) and y (dependent variable). Use Excel's Regression tool to construct a residual plot and use it to determine if any model assumptions have been violated. x y 2 12 3 9 6 8 7 7 8 6 7 5 9 2
(Essay)
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If a data set has SST = 2,000 and SSE = 800, then the coefficient of determination is _____.
(Multiple Choice)
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In a simple regression analysis (where y is a dependent and x an independent variable), if the y-intercept is positive, then it must be true that _____.
(Multiple Choice)
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If the coefficient of correlation is .8, then the percentage of variation in the dependent variable explained by the estimated regression equation is _____.
(Multiple Choice)
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Given below are seven observations collected in a regression study on two variables, x (independent variable) and y (dependent variable). Use Excel to develop a scatter diagram and to compute the least squares estimated regression equation and the coefficient of determination. x y 2 12 3 9 6 8 7 7 8 6 7 5 9 2
(Essay)
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If the coefficient of correlation is a negative value, then the coefficient of determination _____.
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