Suppose the equation of the regression line for the number of emails a person recieves at a particular salescompany is given by y = 11 + 12x. Where y is based on the number of accounts the person has, c. If aperson has 8 accounts, find the number of emails they will recieve.Number of emails:Enter an integer or decimal number [more..]Question Help: Message instructor

Answer:- Given, The equation of the regression line for the number of emails a person recieves at a…

Answered: Suppose the equation of the regression…

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 table shows the number of goals allowed and the total points earned (2 points for a win, and 1 point for an overtime or shootout loss) by 14 ice hockey teams over the course of a season. The equation of the regression line is ŷ= -0.556x+217.766. Use the data to answer the following questions. (a) Find the coefficient of determination, 12, and interpret the result. (b) Find the standard error of the estimate, Se, and interpret the result. 213 213 223 226 259 266 281 202 210 205 226 207 259 239 D Goals Allowed, x Points, y 109 109 102 91 88 80 52 105 107 98 95 85 68 66 (a)² = (Round to three decimal places as needed.) Interpret the coefficient of determination. Select the correct choice below and fill in the answer box to complete your choice. (Round to one decimal place as needed.) OA. About OB. About (b) Se = % of the variation in points earned can be explained by the relationship between number of goals allowed and points earned. The remaining variation is unexplained. % of the…
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (2) and number of sit ups a person can do (y). The results of the regression were: y=ax+b a=-0.666 b=21.511 72=0.543169 r=-0.737 Use this to predict the number of sit ups a person who watches 7 hours of TV can do, and please round your answer to a whole number. Hìnt: Help Question Help: Message instructor Submit Question 围 hp Ce %23 & 3. 4. 6. 8. W e y 61
Fourteen hikers were surveyed at Algonquin Park, and asked for how many days have you been hikingand far did your travel in that time? The equation for the linear regression line is y+3x + 10.3 where x is the number of days and y is the distance travelled. Estimate the number of whole days a hiker would need to travel 35KM? Number of days hiked 1 1 2 3 3 5 5 6 7 7 9 10 11 12 Distance Traveled (km) 12 17 18 19 21 23 25 23 30 31 37 39 41 52
you take a bar of soap and weigh it after each shower. will the regression line be positive or negative
Refer to the data set:(-1, 2), (1, 3), (1, 5), (2, 7), (3, 8), (4, 11)Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 10
Suppose that fund-raisers at a university call recent graduates to request donations for campus outreach programs. They report the following information for last year's graduates. Size of donation Proportion of calls 0.40 $0 0.30 0.25 Three attempts were made to contact each graduate. A donation of $0 was recorded both for those who were contacted but declined to make a donation and for those who were not reached in three attempts. Consider the variable x = amount of donation for a person selected at random from the population of last year's graduates of this university. (a) Write a few sentences describing what donation amounts you would expect to see if the value of x was observed for each of 1,000 graduates. to donate $25, and roughly $10 $25 $50 (c) What is P(x ≥ 25)? You would expect roughly of the graduates to donate nothing, roughly frequencies would be close to, but not exactly, these values. The four frequencies would add to (d) What is P(x > 0)? 0.05 (b) What is the most…
A company buys a new bulldozer for $92050. The company depreciates the bulldozer linearly over its useful life of 17 years. Its salvage value at the end of 17 years is $12150. Depreciation is the decrease or loss in value of the equipment due to age, wear, or market conditions. Express the value of the bulldozer, V, in terms of how many years old it is, t. V=______________ The value of the bulldozer after 5 years is $______________
A student used multiple regression analysis to study how family spending (y) is influenced by income (X1), family size (x2), and additions to savings (x3). The variables y, x1, and x3 are measured in thousands of dollars. The following results were obtained.
While collecting data on shoe sizes (y) compared to heights in inches (x) of male students in the class a student found that the shoe sizes ranged from size 7 to size 11 and the heights of the students ranged from 60 to 72 inches. The student ran a linear regression to get the function = 1 -x- 3 13 where y is the shoe size and is the height of the person in inches. What would be the shoe size for a student who was 73 inches tall? Shoe sizes only show up in incriments of 0.5 (ie. 7, 7.5, 8, 8.5, 9, 9.5, ....) so round to the nearest 1/2 shoe size. Show all your work.
The table shows the amounts of crude oil (in thousands of barrels per day) produced by a certain country and the amounts of crude oil (in thousands of barrels per day) imported by the same country for seven years. The equation of the regression line is y =-1.364x+17,178.20. Complete parts (a) and (b) below. Produced, x Imported, y 5,744 5,554 5,439 5,188 5,136 5,067 D 9,132 9,677 10,017 10,193 10,149 10,075 5,756 9,328 (a) Find the coefficient of determination and interpret the result. (Round to three decimal places as needed.)
The arm span and foot length were both measured (in centimeters) for each of 20 students in a biology class. The computer output displays the regression analysis. Which of the following is the best interpretation of the coefficient of determination r2? About 37% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 65% of the variation in foot length is accounted for by the linear relationship formed with the arm span. About 63% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 63% of the variation in foot length is accounted for by the linear relationship formed with the arm span.
Suppose the equation of the regression line for the number of emails a person recieves at a particular sales company is given by y=9+19⋅x. Where y is based on the number of accounts the person has, x. If a person has 15 accounts, find the number of emails they will recieve. Number of emails:

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