• Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

Card Range To Study

through

image

Play button

image

Play button

image

Progress

1/15

Click to flip

Use LEFT and RIGHT arrow keys to navigate between flashcards;

Use UP and DOWN arrow keys to flip the card;

H to show hint;

A reads text to speech;

15 Cards in this Set

  • Front
  • Back
The Y-intercept (b0) represents the
predicted value of Y when X = 0.
The slope (b1) represents
the estimated average change in Y per unit change in X.
TABLE 13-2

A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:

REF QUIZ13 #3 Table 13-2


Referring to Table 13-2, what is the estimated mean change in the sales of the candy bar if price goes up by $1.00?
-48.193
TABLE 13-2

A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:

REF QUIZ13 #4 Table 13-2


Referring to Table 13-2, what is the coefficient of correlation for these data?
-0.8854
TABLE 13-2

A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:

REF QUIZ13 #5 Table 13-2


Referring to Table 13-2, what is the percentage of the total variation in candy bar sales explained by the regression model?
78.39%
TABLE 13-2

A candy bar manufacturer is interested in trying to estimate how sales are influenced by the price of their product. To do this, the company randomly chooses 6 small cities and offers the candy bar at different prices. Using candy bar sales as the dependent variable, the company will conduct a simple linear regression on the data below:

REF QUIZ13 #6 TABLE 13-2


Referring to Table 13-2, if the price of the candy bar is set at $2, the estimated mean sales will be
65.
The Chancellor of a university has commissioned a team to collect data on students' GPAs and the amount of time they spend bar hopping every week (measured in minutes). He wants to know if imposing much tougher regulations on all campus bars to make it more difficult for students to spend time in any campus bar will have a significant impact on general students' GPAs. His team should use a t test on the slope of the population regression.
True
ABLE 13-6

The following Excel tables are obtained when "Score received on an exam (measured in percentage points)" (Y) is regressed on "percentage attendance" (X) for 22 students in a Statistics for Business and Economics course.

REF QUIZ13 #8 TABLE 13-6


Referring to Table 13-6, which of the following statements is true?
2% of the total variability in score received can be explained by percentage attendance.
TABLE 13-6

The following Excel tables are obtained when "Score received on an exam (measured in percentage points)" (Y) is regressed on "percentage attendance" (X) for 22 students in a Statistics for Business and Economics course.


REF QUIZ13 #9 TABLE 13-6

Referring to Table 13-6, which of the following statements is true?
If attendance increases by 1%, the estimated mean score received will increase by 0.341 percentage points.
The residuals represent
the difference between the actual Y values and the predicted Y values.
the strength of the linear relationship between two numerical variables may be measured by the
coefficient of correlation.
In a simple linear regression problem, r and b1
must have the same sign.
TABLE 13-11

A computer software developer would like to use the number of downloads (in thousands) for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars) he can make on the full version of the new shareware. Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:

REF QUIZ13 #13 TABLE 13-11
For each increase of 1 thousand downloads, the expected revenue is estimated to increase by $ 3.7297 thousands.
TABLE 13-11

A computer software developer would like to use the number of downloads (in thousands) for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars) he can make on the full version of the new shareware. Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:





REF QUIZ13 #14 TABLE 13-11


Referring to Table 13-11, which of the following is the correct interpretation for the coefficient of determination?
75.54% of the variation in revenue can be explained by the variation in the number of downloads
TABLE 13-11

A computer software developer would like to use the number of downloads (in thousands) for the trial version of his new shareware to predict the amount of revenue (in thousands of dollars) he can make on the full version of the new shareware. Following is the output from a simple linear regression along with the residual plot and normal probability plot obtained from a data set of 30 different sharewares that he has developed:

REF QUIZ13 #15 TABLE 13-11


Referring to Table 13-11, which of the following is the correct null hypothesis for testing whether there is a linear relationship between revenue and the number of downloads?
H0: "B"1 = 0