Help me with two questions PLEASE:
QUESTION 1
Regarding a regression model, all of the following can be negative except the
a. correlation coefficient
b. coefficient of “x” in the regression equation
c. coefficient of determination
d. y-intercept in the regression equation
QUESTION 2
Regression analysis was performed on a time series containing 5 years of quarterly sales. The sales data contains both trend and seasonal effects. The following estimated regression equation was obtained.
The sales forecast for Quarter 2 of Year 6 is
a. 116.4
b. 100.4
c. 140.0
d. 124.4
Homework Answers
From the given information,
The correct answers are,
Question 1
c. Coefficient of determination
Question 2.
a. 116.4
Thank you.
Add Answer to:
Help me with two questions PLEASE:
QUESTION 1
Regarding a regression model, all of the following...
Please help me to solve part c of the question (prediction interval) by using any software "or" R...
Please help me to solve part c of the question
(prediction interval) by using any software "or" R "or" Minitab
(whatever technology you want to use you can use to solve this
part).
ent store are shown (in hundreds of thousands of dollars) in the table below for a Retail sales in quarters 1-4 over a 10-year 25.8 27.7 27.3 31.3 22.8 24.6 24.8 28.1 20.5 23.6 20.8 28.3 19.1 19.5 19.4 25 Year Quarter 1 Quarter 2 Quarter3 Quarter...
***PLEASE DO ALL THIS IS MY LAST QUESTION OF THE GIVEN AMOUNT OF QUESTIONS :( *** Which value of r indicates a stronger correlation:r 0.751 orr0.896? Explain your reasoning Choose the correct answer...
***PLEASE DO ALL THIS IS MY LAST QUESTION OF THE GIVEN AMOUNT OF
QUESTIONS :( ***
Which value of r indicates a stronger correlation:r 0.751 orr0.896? Explain your reasoning Choose the correct answer below. A. r=-0.896 represents a stronger correlation because 0.751 >-0.896. B. r=0.751 represents a stronger correlation because l-08961-10.751. C· r--0 896 represents a stronger correlation because 1-0 8961-10751. D. 0.751 represents a stronger correlation because 0.751> -0.896. The budget (in millions of dollars) and worldwide gross (in...
Please help with multi step question- 1 question with 6 parts!! The table below gives the...
Please help with multi step question- 1 question with 6
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The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y bo + bix, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data...
1. For each of the following regression models, write down the X matrix and 3 vector....
1. For each of the following regression models, write down the X matrix and 3 vector. Assume in both cases that there are four observations (a) Y BoB1X1 + B2X1X2 (b) log Y Bo B1XiB2X2+ 2. For each of the following regression models, write down the X matrix and vector. Assume in both cases that there are five observations. (a) YB1XB2X2+BXE (b) VYBoB, X,a +2 log10 X2+E regression model never reduces R2, why 3. If adding predictor variables to a...
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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...
All Greens is a franchise store that sells house plants and lawn and garden supplies. Although All Greens is a franchise, each store is owned and managed by private individuals. Some friends have aske...
All Greens is a franchise store that sells house plants and lawn and garden supplies. Although All Greens is a franchise, each store is owned and managed by private individuals. Some friends have asked you to go into business with them to open a new All Greens store in the suburbs of San Diego. The national franchise headquarters sent you the following information at your request. These data are about 27 All Greens stores in California. Each of the 27...
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Please help me to solve part c of the question
(prediction interval) by using any software "or" R "or" Minitab
(whatever technology you want to use you can use to solve this
part).
ent store are shown (in hundreds of thousands of dollars) in the table below for a Retail sales in quarters 1-4 over a 10-year 25.8 27.7 27.3 31.3 22.8 24.6 24.8 28.1 20.5 23.6 20.8 28.3 19.1 19.5 19.4 25 Year Quarter 1 Quarter 2 Quarter3 Quarter...
***PLEASE DO ALL THIS IS MY LAST QUESTION OF THE GIVEN AMOUNT OF
QUESTIONS :( ***
Which value of r indicates a stronger correlation:r 0.751 orr0.896? Explain your reasoning Choose the correct answer below. A. r=-0.896 represents a stronger correlation because 0.751 >-0.896. B. r=0.751 represents a stronger correlation because l-08961-10.751. C· r--0 896 represents a stronger correlation because 1-0 8961-10751. D. 0.751 represents a stronger correlation because 0.751> -0.896. The budget (in millions of dollars) and worldwide gross (in...
Please help with multi step question- 1 question with 6
parts!!
The table below gives the number of hours seven randomly selected students spent studying and their corresponding midterm exam grades. Using this data, consider the equation of the regression line, y bo + bix, for predicting the midterm exam grade that a student will earn based on the number of hours spent studying. Keep in mind, the correlation coefficient may or may not be statistically significant for the data...
1. For each of the following regression models, write down the X matrix and 3 vector. Assume in both cases that there are four observations (a) Y BoB1X1 + B2X1X2 (b) log Y Bo B1XiB2X2+ 2. For each of the following regression models, write down the X matrix and vector. Assume in both cases that there are five observations. (a) YB1XB2X2+BXE (b) VYBoB, X,a +2 log10 X2+E regression model never reduces R2, why 3. If adding predictor variables to a...
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...
Question 1: Wendy's Happy Homes Inc manufactures Home Appliances. Monthly sales of Wendy's Washers and Dryer Sets for a nine month period were as follows: MONTH Washer and Dryer Sales 490 480 450 500 480 470 490 520 530 January February March April May June July August September Forecast October sales using 1) A four-month moving average 2) a six-month moving average 3. Compute the MAD for each forecast method you used Actual October sales were 320 nits. 4) Which...
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