1. Suppose you ran a additive regression-based model of price vs time (years) and the point...
1. Suppose you ran a additive regression-based model of price vs time (years) and the point estimate for change in price per year was 1140. Interpret the slope.
Group of answer choices
a. The price tended to increase by 11.40% dollars per year.
b. The price tended to decrease by 1140 dollars per year.
c. The price tended to increase by 1140 dollars per year.
d. The price tended to decrease by 11.40% dollars per year.
2. Suppose you fit a multiplicative regression model for log10(sales in $1000s) vs time (years) and the point estimate for change in log10(sales in $1000s) per year is .06. Interpret the slope.
(Hint: You will need to raise the value of the slope to the power of 10.)
Group of answer choices
a. The sales decrease by $60 per year typically.
b. The sales decreased by 14.8% per year typically.
c. The sales increase by $60 per year typically.
d. The sales increased by 14.8% per year typically.
Homework Answers
1)
c. The price tended to increase by 1140 dollars per year.
2) since increase in sales =10^0.06 =1.148
d. The sales increased by 14.8% per year typically.
Add Answer to:
1. Suppose you ran a additive regression-based model of price vs
time (years) and the point...
Weekly data collected on a particular beverage brand used the price of beverage to predict the...
Weekly data collected on a particular beverage brand used the price of beverage to predict the number of units sold. A simple linear regression model is given as y=2259-1418x. The ANOVA F test p-value=0.000, and r 2 = .597. Which is the best interpretation of the slope of the line Group of answer choices As the price increasess by 1 dollar, sales will increase on average by 2259 As the price increases by 1 dollar, sales will decrease, on average...
(a) Write down the population regression model, being as specific as possible. (5 points) (b) What...
(a) Write down the population regression model, being as
specific as possible. (5 points)
(b) What is the meaning of the error term u in this regression?
Provide an example of what u represents. (5 points)
(c) What are the estimates of the intercept and slope
parameters? Interpret what these estimates mean, being as specific
as possible. (15 points)
(d) Why might the estimate of the slope from the simple linear
regression above be a biased estimate of the true...
Exercise 4.8 Suppose the Sherwin-Williams Company has developed the following multiple regression model, with paint sales...
Exercise 4.8 Suppose the Sherwin-Williams Company has developed the following multiple regression model, with paint sales Y (x 1,000 gallons) as the dependent variable and promotional expenditures A (x $1,000) and selling price P (dollars per gallon) as the independent variables. Y=α+βaA+βpP+εY=α+βaA+βpP+ε Now suppose that the estimate of the model produces following results: α=344.585α=344.585 , ba=0.106ba=0.106 , bp=−12.112bp=−12.112 , sba=0.155sba=0.155 , sbp=4.421sbp=4.421 , R2=0.813R2=0.813 , and F-statistic=10.372F-statistic=10.372 . Note that the sample consists of 10 observations. According to the estimated...
13.76 You want to develop a model to predict the selling price of homes based on assessed value. A sample of 30 recently sold single-family houses in a small city is selected to study the relatio...
13.76 You want to develop a model to predict the selling price of homes based on assessed value. A sample of 30 recently sold single-family houses in a small city is selected to study the relationship between selling price (in thousands of dollars) and assessed value (in thousands of dollars). The houses in the city were reassessed at full value one year prior to the study. The results are in House 1. (Hint: First, determine which are the independent and...
1. In the simple regression model y = + β1x + u, suppose that E (u)...
1. In the simple regression model y = + β1x + u, suppose that E (u) 0. Letting oo-E(u), show that the model can always be rewrit ten with the same slope, but a new intercept and error, where the new error has a zero expected value 2. The data set BWGHT contains data on births to women in the United States. Two variables of interest are the dependent variable, nfan birth weight in ounces (bught), and an explanatory variable,...
Question 1 Which of the following choices best describes the scatterplot shown below? Group of answer...
Question 1 Which of the following choices best describes the scatterplot shown below? Group of answer choices Linear, negative, strong No form, weak Linear, positive, strong Curved, weak Question 2 Which of the following choices is most likely to be the correlation of the data in the scatterplot shown below? Group of answer choices -0.14 1.04 0.86 -0.92 Question 3 Most roller coasters get their speed by dropping down a steep initial incline, so it makes sense that we can...
continued table.. Will rate, thank you in advance. A magazine publishes restaurant ratings for various locations...
continued table..
Will rate, thank you in advance.
A magazine publishes restaurant ratings for various locations around the world. The magazine rates the restaurants for food, decor, service, and the cost per person. Develop a regression model to predict the cost per person, based on a variable that represents the sum of the three ratings. The magazine has compiled the accompanying table of this summated ratings variable and the cost per person for 25 restaurants in a major city. Complete...
(1 point) The Capital Asset Price Model (CAPM) is a financial model that attempts to predict the rate of ret...
(1 point) The Capital Asset Price Model (CAPM) is a financial model that attempts to predict the rate of return on a financial instrument such as a common stock, in such a way that it is linearly related to the rate of return on the overal market. Specifically, RStockAd Bo+ PRMarket + e You are to study the relationship between the two variables and estimate the above model: 1,2,, 59 RStock Ad-rate of return on Stock A for month i,...
The following ANOVA model is for a multiple regression model with two independent variables: Degrees of Sum of Mean Source Freedom Squares ...
The following ANOVA model is for a multiple regression model
with two independent variables:
Degrees
of
Sum
of
Mean
Source
Freedom
Squares
Squares
F
Regression
2
60
Error
18
120
Total
20
180
Determine the Regression Mean Square (MSR):
Determine the Mean Square Error (MSE):
Compute the overall Fstat test statistic.
Is the Fstat significant at the 0.05 level?
A linear regression was run on auto sales relative to consumer
income. The Regression Sum of Squares (SSR) was 360 and...
You might be familiar with Crazy Eddy, an owner of the “Crazy Eddy’s” home electronics stores...
You might be familiar with Crazy Eddy, an owner of the “Crazy Eddy’s” home electronics stores that used to exist when you were younger (though maybe too young to remember). Some of the larger superstores like Best Buy and Circuit City moved in and began squeezing Eddy. As it turned out his tagline, “where the prices are insane,” was quite true, and he was forced out of business. Unbeknownst to many, Eddy was an avid skier, and his desire to...
(a) Write down the population regression model, being as
specific as possible. (5 points)
(b) What is the meaning of the error term u in this regression?
Provide an example of what u represents. (5 points)
(c) What are the estimates of the intercept and slope
parameters? Interpret what these estimates mean, being as specific
as possible. (15 points)
(d) Why might the estimate of the slope from the simple linear
regression above be a biased estimate of the true...
13.76 You want to develop a model to predict the selling price of homes based on assessed value. A sample of 30 recently sold single-family houses in a small city is selected to study the relationship between selling price (in thousands of dollars) and assessed value (in thousands of dollars). The houses in the city were reassessed at full value one year prior to the study. The results are in House 1. (Hint: First, determine which are the independent and...
1. In the simple regression model y = + β1x + u, suppose that E (u) 0. Letting oo-E(u), show that the model can always be rewrit ten with the same slope, but a new intercept and error, where the new error has a zero expected value 2. The data set BWGHT contains data on births to women in the United States. Two variables of interest are the dependent variable, nfan birth weight in ounces (bught), and an explanatory variable,...
continued table..
Will rate, thank you in advance.
A magazine publishes restaurant ratings for various locations around the world. The magazine rates the restaurants for food, decor, service, and the cost per person. Develop a regression model to predict the cost per person, based on a variable that represents the sum of the three ratings. The magazine has compiled the accompanying table of this summated ratings variable and the cost per person for 25 restaurants in a major city. Complete...
(1 point) The Capital Asset Price Model (CAPM) is a financial model that attempts to predict the rate of return on a financial instrument such as a common stock, in such a way that it is linearly related to the rate of return on the overal market. Specifically, RStockAd Bo+ PRMarket + e You are to study the relationship between the two variables and estimate the above model: 1,2,, 59 RStock Ad-rate of return on Stock A for month i,...
The following ANOVA model is for a multiple regression model
with two independent variables:
Degrees
of
Sum
of
Mean
Source
Freedom
Squares
Squares
F
Regression
2
60
Error
18
120
Total
20
180
Determine the Regression Mean Square (MSR):
Determine the Mean Square Error (MSE):
Compute the overall Fstat test statistic.
Is the Fstat significant at the 0.05 level?
A linear regression was run on auto sales relative to consumer
income. The Regression Sum of Squares (SSR) was 360 and...
Most questions answered within 3 hours.
-
1. When a nearsighted person looks at an object that is in the
distance with their...
asked 58 minutes ago -
QUESTION 8
Both of these statements will store the same value in the
variable $number
$number...
asked 1 hour ago -
The price of 1 lb of potatoes is $1.75. If all the potatoes sold
today at...
asked 2 hours ago -
Garcia Company issues 20.00%, 15-year bonds with a par value of
$470,000 and semiannual interest payments....
asked 2 hours ago -
In C++ Programming, Try using loops only.
This lab demonstrates the use of the While Loop...
asked 3 hours ago -
Effect of DCMU and sodium azide on Chlamydomonas? We did an
experiment where we had Chlamydomonas...
asked 3 hours ago -
1a) According to the ideal gas law, _______________.
a. a gas has infinite volume at absolute...
asked 5 hours ago -
Oakdale Fashions, Inc. had $245,000 in 2018 taxable income.
Using the tax schedule in Table 2.3...
asked 5 hours ago -
The marketing class at CSUS had an average score of 150. An
educational analyst determined that...
asked 6 hours ago -
Justin Case has purchased a $250 000 home by putting 20 % down
and taking out...
asked 7 hours ago -
1. In a labor market, marginal cost for a firm is
____________.
a. recruiting cost
b....
asked 7 hours ago -
On January 1, 2019, ABC Company issued $60,000,000 of 20-year,
10.5% bonds when the market rate...
asked 8 hours ago