In a regression analysis if SST F1F1F1S1F1F1F10 4500 and SSE F1F1F1S1F1F1F10 1575, then the coefficient of determination is

A) 0.35 B) 0.65 C) 2.85 D) 0.45 A) 0.35 B) 0.65 C) 2.85 D) 0.45

In a regression analysis if SSE F1F1F1S1F1F1F10 500 and SSR F1F1F1S1F1F1F10 300, then the coefficient of determination is

A) 0.6000 B) 0.1666 C) 1.6666 D) 0.3750 A) 0.6000 B) 0.1666 C) 1.6666 D) 0.3750

A regression analysis between sales (in $1000) and price (in dollars) resulted in the following equation F1F1F1S1F1F1F10 50,000 F1F1F1S1F1F1F10 8x The above equation implies that an

A) increase of $1 in price is associated with a decrease of $8 in sales B) increase of $8 in price is associated with an increase of $8,000 in sales C) increase of $1 in price is associated with a decrease of $42,000 in sales D) increase of $1 in price is associated with a decrease of $8000 in sales A) increase of $1 in price is associated with a decrease of $8 in sales B) increase of $8 in price is associated with an increase of $8,000 in sales C) increase of $1 in price is associated with a decrease of $42,000 in sales D) increase of $1 in price is associated with a decrease of $8000 in sales

Exam 12: Simple Linear Regression

Shown below is a portion of a computer output for regression analysis relating Y (dependent variable) and X (independent variable). a.What has been the sample size for the above? b.Perform a t test and determine whether or not X and Y are related. Let  = 0.05. c.Perform an F test and determine whether or not X and Y are related. Let  = 0.05. d. Compute the coefficient of determination.e. Interpret the meaning of the value of the coefficient of determination that you found in d. Be very specific.

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Question 81

Exhibit 12-6 You are given the following information about y and x. -Refer to Exhibit 12-6. The least squares estimate of b₀ equals

(Multiple Choice)

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Question 82

Exhibit 12-5 You are given the following information about y and x. -Refer to Exhibit 12-5. The coefficient of determination equals

(Multiple Choice)

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Question 83

Shown below is a portion of an Excel output for regression analysis relating Y (dependent variable) and X (independent variable). a.What has been the sample size for the above? b.Perform a t test and determine whether or not X and Y are related. Let  = 0.05. c.Perform an F test and determine whether or not X and Y are related. Let  = 0.05. d. Compute the coefficient of determination.e. Interpret the meaning of the value of the coefficient of determination that you found in d. Be very specific.

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Question 84

The following data represent the number of flash drives sold per day at a local computer shop and their prices. a.Perform an F test and determine if the price and the number of flash drives sold are related. Let  = 0.01. b.Perform a t test and determine if the price and the number of flash drives sold are related. Let  = 0.01.

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Question 85

A procedure used for finding the equation of a straight line that provides the best approximation for the relationship between the independent and dependent variables is the

(Multiple Choice)

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Question 86

Shown below is a portion of a computer output for a regression analysis relating Y (demand) and X (unit price). a.Perform a t test and determine whether or not demand and unit price are related. Let  = 0.05. b.Perform an F test and determine whether or not demand and unit price are related. Let  = 0.05. c.Compute the coefficient of determination and fully interpret its meaning. Be very specific. d.Compute the coefficient of correlation and explain the relationship between demand and unit price.

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Question 87

Data points having high leverage are often

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Question 88

Exhibit 12-3 Regression analysis was applied between sales data (in $1,000s) and advertising data (in $100s) and the following information was obtained. -Refer to Exhibit 12-3. The F statistic computed from the above data is

(Multiple Choice)

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Question 89

In simple linear regression analysis, which of the following is not true?

(Multiple Choice)

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Question 90

In regression analysis, which of the following is not a required assumption about the error term ?

(Multiple Choice)

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Question 91

In a simple regression analysis (where y is a dependent and x an independent variable), if the y intercept is positive, then

(Multiple Choice)

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Question 92

A data point (observation) that does not fit the trend shown by the remaining data is called a(n)

(Multiple Choice)

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Question 93

In a regression analysis if SST  4500 and SSE  1575, then the coefficient of determination is

(Multiple Choice)

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Question 94

Exhibit 12-2 You are given the following information about y and x. -Refer to Exhibit 12-2. The least squares estimate of b₀ equals

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Question 95

Scott Bell Builders would like to predict the total number of labor hours spent framing a house based on the square footage of the house. The following data has been compiled on ten houses recently built. a. Develop the least-squares estimated regression equation that relates framing labor hours to house square footage. b. Use the regression equation developed in part (a) to predict framing labor hours when the house size is 3350 square feet.

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Question 96

In a regression analysis if SSE  500 and SSR  300, then the coefficient of determination is

(Multiple Choice)

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Question 97

A regression analysis between sales (in $1000) and price (in dollars) resulted in the following equation  50,000  8x The above equation implies that an

(Multiple Choice)

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Question 98

Given below are seven observations collected in a regression study on two variables, x (independent variable) and y (dependent variable). a.Develop the least squares estimated regression equation. b.At 95% confidence, perform a t test and determine whether or not the slope is significantly different from zero. c.Perform an F test to determine whether or not the model is significant. Let   0.05. d.Compute the coefficient of determination.

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Question 99

If the coefficient of determination is a positive value, then the regression equation

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Question 100

Showing 81 - 100 of 107

Exhibit 12-6 You are given the following information about y and x. -Refer to Exhibit 12-6. The least squares estimate of b₀ equals

Exhibit 12-5 You are given the following information about y and x. -Refer to Exhibit 12-5. The coefficient of determination equals

A procedure used for finding the equation of a straight line that provides the best approximation for the relationship between the independent and dependent variables is the

Data points having high leverage are often

Exhibit 12-3 Regression analysis was applied between sales data (in $1,000s) and advertising data (in $100s) and the following information was obtained. -Refer to Exhibit 12-3. The F statistic computed from the above data is

In simple linear regression analysis, which of the following is not true?

In regression analysis, which of the following is not a required assumption about the error term ?

In a simple regression analysis (where y is a dependent and x an independent variable), if the y intercept is positive, then

A data point (observation) that does not fit the trend shown by the remaining data is called a(n)

In a regression analysis if SST  4500 and SSE  1575, then the coefficient of determination is

Exhibit 12-2 You are given the following information about y and x. -Refer to Exhibit 12-2. The least squares estimate of b₀ equals

In a regression analysis if SSE  500 and SSR  300, then the coefficient of determination is

A regression analysis between sales (in $1000) and price (in dollars) resulted in the following equation  50,000  8x The above equation implies that an

If the coefficient of determination is a positive value, then the regression equation

Data and Statistics

Descriptive Statistics: Tabular and Graphical Presentations

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Comparisons Involving Means, Experimental Design, and Analysis of Variance

Comparisons Involving Proportions and a Test of Independence

Multiple Regression

Statistical Methods for Quality Control

Time Series Analysis and Forecastng

Filters

Exam 12: Simple Linear Regression

Exhibit 12-6 You are given the following information about y and x. -Refer to Exhibit 12-6. The least squares estimate of b0 equals

Exhibit 12-5 You are given the following information about y and x. -Refer to Exhibit 12-5. The coefficient of determination equals

A procedure used for finding the equation of a straight line that provides the best approximation for the relationship between the independent and dependent variables is the

Data points having high leverage are often

Exhibit 12-3 Regression analysis was applied between sales data (in $1,000s) and advertising data (in $100s) and the following information was obtained. -Refer to Exhibit 12-3. The F statistic computed from the above data is

In simple linear regression analysis, which of the following is not true?

In regression analysis, which of the following is not a required assumption about the error term ?

In a simple regression analysis (where y is a dependent and x an independent variable), if the y intercept is positive, then

A data point (observation) that does not fit the trend shown by the remaining data is called a(n)

In a regression analysis if SST  4500 and SSE  1575, then the coefficient of determination is

Exhibit 12-2 You are given the following information about y and x. -Refer to Exhibit 12-2. The least squares estimate of b0 equals

In a regression analysis if SSE  500 and SSR  300, then the coefficient of determination is

A regression analysis between sales (in $1000) and price (in dollars) resulted in the following equation  50,000  8x The above equation implies that an

If the coefficient of determination is a positive value, then the regression equation

Data and Statistics

Descriptive Statistics: Tabular and Graphical Presentations

Descriptive Statistics: Numerical Measures

Introduction to Probability

Discrete Probability Distributions

Continuous Probability Distributions

Sampling and Sampling Distributions

Interval Estimation

Hypothesis Tests

Comparisons Involving Means, Experimental Design, and Analysis of Variance

Comparisons Involving Proportions and a Test of Independence

Multiple Regression

Statistical Methods for Quality Control

Time Series Analysis and Forecastng

Filters

Exhibit 12-6 You are given the following information about y and x. -Refer to Exhibit 12-6. The least squares estimate of b₀ equals

Exhibit 12-2 You are given the following information about y and x. -Refer to Exhibit 12-2. The least squares estimate of b₀ equals