Find the equation of the regression line. You may use Excel.a. What is the value of the intercept?b. What is the value of b1?c. Write the equation in the stylized form.d. Interpret the coefficients of the estimated regression line.NOTE: please answer ASAP. I really need help. PART 2. PROBLEM SOLVINGSolve the following problems. Show all pertinent solutions. No immediate rounding.Round off final answers to THREE decimal places.The following data set shows the weekly advertising expenditure and sales of 12retail merchants selling face masks.Advertising cost($)604045405070604070604570Sales ($)385400395365475440490420560525480510

The following information has been provided: Advertising Cost (x) Sales (y) 60 385 40 400…

The following data set shows the weekly advertising expenditure and sales of 12 retail merchants selling face masks. Advertising cost ($) 60 40 45 40 50 70 60 40 70 60 45 70 Sales ($) 385 400 395 365 475 440 490 420 560 525 480 510

The following data set shows the weekly advertising expenditure and sales of 12 retail merchants selling face masks. Advertising cost ($) 60 40 45 40 50 70 60 40 70 60 45 70 Sales ($) 385 400 395 365 475 440 490 420 560 525 480 510

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The regression model y = -237x + 7500 shows the number of items sold (y) based on the increase in selling price (x). Identify a conclusion statement that is correct for the model. O There will always be 7,500O items sold. O A $30 increase will result in no items being sold. O There are 237 less items sold for every $10 in price change. O A decrease in selling price increases the number of units sold.
please solve: F and G ch 12
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Answer a-c thank you
pls help with steps A statistics teacher was interested in the relationship between the number of days students waited to start a project and the score that project received (out of 100 points). Information was collected on several students and was used to obtain the regression equation ŷ = –3.64x + 96.5, where x represents the number of procrastination days and ŷ is the predicted grade. Which statement best describes the meaning of the y-intercept of the regression line? When the grade is 0, the predicted number of procrastination days is 0. When the grade is 0, the predicted number of procrastination days is 96.5. When the number of procrastination days is 0, the predicted grade is 3.64 points. When the number of procrastination days is 0, the predicted grade is 96.5 points.
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esc The following estimated regression equation has been proposed to predict sales at a fast food outlet. ŷ = 51 - 5x₁ + 25x₂ + 12x3 where f1 1 Predict sales (in dollars) for the store with the competitor's previous day's sale of $6,000, a population of 29,000 within 1 mile, and five radio advertisements. $758 X ? x₁ = competitor's previous day's sales (in $1,000s) X1 Need Help? Read It Q x₂ = population within 1 mile (in 1,000s) X3 = 1 if radio advertising was used; 0 otherwise ý = estimated sales (in $1,000s) @ f2 2 * W f3 # * 3 E f4 ***** A $ 4 R f5 40 do O 5 f6 T 4- A 6 f7 ♫+ Y C & 7 fg KAA U * fg 8 hp DII f10 o DDI 9 f11 O f12. insert P prt sc + [ } K ] delete backspa
Use the time/tip data from the table below, which includes data from New York City taxi rides. (The distances are in miles, the times are in minutes, the fares are in dollars, and the tips are in dollars.) Find the regression equation, letting time be the predictor (x) variable. Find the best predicted tip for a ride that takes 22 minutes. How does the result compare to the actual tip amount of $5.05? Distance 1.40 0.68 0.49 1.32 18.00 6.00 2.00 8.00 12.30 6.30 4.80 7.80 2.46 1.89 0.00 0.00 Time Fare Tip 12.71 1.65 1.80 27.00 11.00 25.00 36.80 9.80 16.30 0.00 1.96 1.50 ... 2.47 D 18.00 14.30 4.29 The regression equation is y = y=+x. (Round the y-intercept to two decimal places as needed. Round the slope to four decimal places as needed.) The best predicted tip for a ride that takes 22 minutes is $ (Round to the nearest cent as needed.) How does the result compare to the actual tip amount of $5.05?
Given the regression equation Y = 43 - 10X, the change in Y when X changes by -3 is A. -30 B. 30 C. -13 D. 13
Given the regression equation Y=43-10X, the predicted value of Y when x = - 7 is A 70 B -113 C -70 D 113
Using the pairs of values for all 10 points, find the equation of the regression line. b. After removing the point with coordinates (2,9), use the pairs of values for the remaining 9 points and find the equation of the regression line. c. Compare the results from parts (a) and (b)