Question

(Regression Question) What is the equation of the regression line y = ? (x) - ?...

(Regression Question) What is the equation of the regression line y = ? (x) - ? be in this case? Write your line equation with a, and b having 2 decimal spaces after each of the decimals.

Money Spent in Advertisement (in Millions of Dollars) X Revenue in Movie Rentals (in Millions of Dollars) Y

X. Y.

Sony 203 4500

X. Y

Warner Brothers 170 3600

X. Y.

Amazon 270 7500

X. Y.

Netflix 250 5600

X. Y.

Hulu 120 2670

X. Y.

Google 100 3000

Homework Answers

Answer #1

Ans : y = 25.01 (x) -161.76   

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Find the equation of the regression line for the given data. Then construct a scatter plot...
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (Each pair of variables has a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The caloric content and the sodium content​ (in milligrams) for 6 beef hot dogs are shown in the table below. Calories,x 150 170 120 130 70 190 ​(a) x=180...
find the equation of the regression line for the given data. x y 430 150 480...
find the equation of the regression line for the given data. x y 430 150 480 170 320 130 380 120 290 70 530 180 Predict the value of Y for x=180 x=100 x=140 x=210
THE EQUATION OF THE REGRESSION LINE IS Y = a+ bX. MATCH THE FOLLOWING SYMBOLS TO...
THE EQUATION OF THE REGRESSION LINE IS Y = a+ bX. MATCH THE FOLLOWING SYMBOLS TO THE DESCRIPTION TO THE RIGHT. 1.      DENOTES THE VARIABLE PLOTTED ON THE HORIZONTAL AXIS AND CALLED THE VARIABLE.THE EXPLANTORY OR INDEPENDENT VARIABLE.. 2.      . Denotes the variable plotted on the vertical axis and is called the response OR DEPENDENT VARIABLE. 3.      THE RGRESSION RESULT = THE CHANGE IN Y FOR A CHANGE IN X +1 AND CALLED THE SLOPE 4.      THE PROPORTION OF THE VARIABILITY OF Y THAT...
Consider two variables and the least squares equation for their line y=.8565 + 0.40248 x. Regression...
Consider two variables and the least squares equation for their line y=.8565 + 0.40248 x. Regression analysis revealed the following: s = 0.517508 r = .9838 What percentage of the variation of y cannot be explained by the variation of x? A. 96.8 B. 98.38 C. 3.2 D. 1.6 2
Construct the equation of the regression line. An editing firm compiled the following table which lists...
Construct the equation of the regression line. An editing firm compiled the following table which lists the number of pages contained in a piece of technical writing and the cost of proofreading and correcting them (in dollars). Assume there is a significant linear relationship between X and Y and construct the equation of the linear regression line. Number of Pages, x 7 12 4 14 25 30 Cost, y 128 213 75 250 446 540 Question 8 options: yˆ=15.4(x)+7.1 yˆ=7.1(x)+15.4...
Find the equation of the regression line for the paired data: (2,7), (4,11), (5,13), (6,20). y...
Find the equation of the regression line for the paired data: (2,7), (4,11), (5,13), (6,20). y = 0.15 + 2.8xy = 3.0x    y = 0.15x + 3.0y = 0.15x + 2.8y = 3.0 + xy = 2.8xy = 0.15 + 3.0xy = 2.8 + x
The equation of the best fit line relating x, the number of absences, to y, the...
The equation of the best fit line relating x, the number of absences, to y, the final grade is y with hat on top equals 0.449 x minus 30.27. Student A missed 7 classes while student B missed 25 classes. Assuming that the scope of the model is between missing 0 classes to 30 classes, the predicted Final Grades for these grades are as follows: Student A: 76.854; Student B: 27.264 Student A: 89.33; Student B: 50.235 Student A: 76.854;...
Regression analysis was applied between sales (y in $1000) and advertising (x in $100) and the...
Regression analysis was applied between sales (y in $1000) and advertising (x in $100) and the following estimated regression equation was obtained. Ŷ = 80 + 6.2x Based on the above estimated regression line, if advertising is $10,000, then the point estimate for sales (in dollars) is a. $700,000. b. $700. c. $62,080. d. $142,000.
Determine the equation of the regression line for the following data, and compute the residuals. x...
Determine the equation of the regression line for the following data, and compute the residuals. x 16 8 19 13 6 y 46 37 56 43 21 Do not round the intermediate values. (Round your answers to 3 decimal places.) y^= ??? + ( ???)x Do not round the intermediate values. (Round your answers to 3 decimal places.) x y Residuals 16 46 8 37 19 56 13 43 6 21
Determine the equation of the regression line for the following data, and compute the residuals. x...
Determine the equation of the regression line for the following data, and compute the residuals. x 15 9 18 13 5 y 48 38 56 44 24 Do not round the intermediate values. (Round your answers to 3 decimal places.) y^= +( )x Do not round the intermediate values. (Round your answers to 3 decimal places.) x y Residuals 15 48 9 38 18 56 13 44 5 24
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT