A1A1 Summated_Rating23456789LO111213141516Ō600691718192021~ 3 4 5222324252627282955686765636052655348544974655348574454546365537269XfxBCost_($_per_person)38515957443842433331393684543837332243466360284648Summated_RatingсDEF(5)G A magazine publishes restaurant ratings for various locations around the world. The magazine rates the restaurants for food, decor, service, and the cost perperson. Develop a regression model to predict the cost per person, based on a variable that represents the sum of the three ratings. The magazine has compiledthe accompanying table of this summated ratings variable and the cost per person for 25 restaurants in a major city. Complete parts (a) through (e) below.a. Construct a scatter plot. Choose the correct graph below.O A.90-0-01Cost ($)Rating90QO B.90+0-0Cost ($)30Rating90O C.A Cost ($)90-0-0Rating90b. Assuming a linear relationship, use the least-squares method to compute the regression coefficients bo and b₁.bo =and b₁ =(Round to two decimal places as needed.)O D.90-0-0Cost ($)સ્થાની ના ૧૧માRating90

Given data: x y 55 38 68 51 67 59 65 57 63 44 60 38 52 42 65 43 53 33 48 31…

Answered: A magazine publishes restaurant ratings…

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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Similar questions

A university would like to examine the linear relationship between a faculty member's performance rating (measured on a scale of 1-20) and his or her annual salary increase. The table to the right shows these data for eight randomly selected faculty members. Complete parts a and b.
How do you figure this out using conjoint analysis in a linear regression? Determine how various attributes impact the purchase of a car. There are four attributes, each with three levels: Brand: Ford = 1, Chrysler = 2, GM = 3 MPG: 15 MPG = 1, 20 MPG = 2, 25 MPG = 3 Horsepower (HP): 100 HP = 1, 150 HP = 2, 200 HP = 3 Price: $18,000 = 1, $21,000 = 2, $24,000 = 3 The nine product profiles ranked in the data file were evaluated by a consumer. (a) For this market segment, rank the product attributes from most important to least important. Below is the data provided. Brand MPG Power Price Rank 1 1 1 1 4 1 2 2 3 7 1 3 3 2 3 2 1 2 2 6 2 2 3 1 2 2 3 1 3 9 3 1 3 3 8 3 2 1 2 5 3 3 2 1 1
Part and b. Thank you!
Capacity and price data for a collection of USB flash drives is displayed in the table below. Capacity (Gb) Price ($) 8 10 16 13 32 18 64 28 128 49 256 90 Use linear regression to find the best-fit line for the data, with capacity as the independent variable and price as the dependent variable. Round to 2 decimal places.
A random sample of 136 adults were asked to report the number of hours per week the spent on a computer and their number of years of education. The linear model equation below describes the relationship between the mean computers hours and years of education. computers == 9.12 ++ 0.8 ×× education Based on this linear model, which of the following statements is correct? a) An adult who has no years of education is expected to spend 9.12 hours per week on a computer. b) An adult who has 1 more year of education than another is expected to spend 9.12 more hours per week on a computer. c) An adult who spends 1 more hour per week on a computer than another is expected to have had 9.12 more years of education. d) An adult who spend zero hours per week on a computer is expected to have 9.12 years of education.
A researcher explored the relationship between the percent of snow days during the month of January and the percent of students that receive an A on class finals at the same schools. The researcher collects information from 6 schools, shown in the table below. Use the graph below to plot the points and develop a linear relationship between the percent of January snow days and the percent of 'A' final exams. School Number % of Snow Days % of A Finals 1 5 25 2 7 45 3 10 50 4 12 65 5 20 70 6 25 86 Using the linear relationship graphed above, estimate the percent of 'A' finals if there are 2% snow days. Provide your answer below:

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x	y
55	38
68	51
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63	44
60	38
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53	33
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x	y
55	38
68	51
67	59
65	57
63	44
60	38
52	42
65	43
53	33
48	31
54	39
49	36
74	84
65	54
53	38
48	37
57	33
44	22
54	43
54	46
63	63
65	60
53	28
72	46
69	48

x	y
55	38
68	51
67	59
65	57
63	44
60	38
52	42
65	43
53	33
48	31
54	39
49	36
74	84
65	54
53	38
48	37
57	33
44	22
54	43
54	46
63	63
65	60
53	28
72	46
69	48