The following data set shows the weekly advertising expenditure and sales of 12 retailmerchants selling face masks and beside it is the scatter diagram.600CostSales40385500204002539540020365304753005044040490200204205056010040525254800505100102030405060Advertising Cost1. Based on the scatter plot, is it reasonable to perform simple linear regressionbetween the two variables?2. Between Sales and Advertising Cost, which is reasonable choice for theindependent and dependent variable?3. For the following values for advertising cost, is it appropriate to use the regressionequation to estimate the weekly sales? If yes, what is the predicted value? If not,how come?a. $35b. $60Sales

With the help of data and scatter plot, we need to answer given questions.

Answered: The following data set shows the weekly…

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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A study was made by a retail merchant to determine the relation between weekly advertising expenditures and sales. The following data were recorded: Advertising Costs ($) Sales ($) 40 20 385 400 25 395 20 365 30 50 475 440 40 490 20 420 50 40 560 525 25 480 50 510 a. Find the equation of the regression line to predict weekly sales from the advertising expenditures. b. Determine how much will be the sales when advertising costs are 28, 42 and 48 C. Find the correlation coefficient. (Explain your answer)
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The following table shows the annual family income of the students enrolled in the JRMSU-TC and their general weighted average (GPA). Students Annual Family Income (Pesos) General weighted average (GPA) % 1 85 100,000 50,000 2 79 3 150,000 180,000 5 300,000 6 500,000 7 230,000 1. Plot the regression line with the data. 2. Discuss the results. 34 82 85 93 92 95
Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best-predicted amount that a movie will gross if its budget is $110 million. Budget ($)in Millions 41 21 114 68 79 51 118 65 9 61 122 21 15 151 11 Gross ($) in Millions 119 11 107 56 128 116 101 107 55 105 222 39 22 283 45 The regression equation is y= + x. The best predicted gross for a movie with a $110 million budget is$ million.
please help with all parts population Expenditure 29 127 435 214 86 133 1090 208 219 153 503 184 47 130 3524 217 185 141 98 154 952 194 89 103
Sanchez & Hall, a research firm for the real estate industry, studied the relation between x = annual income (in thousands of dollars) and y= sale price of house purchased (in thousands of dollars). A random sample of data was collected from mortgage applications for home sales in the region of the study, and is given in the table. Annual Income House Price 215.7 211 144.7 278.5 319.5 236.8 144.8 204 286.8 97 120 73 107 135 81 72 ס|א|א 70 108
At one hospital there is some concern about the high turnover of nurses. A survey was done to determine how long (in months) nurses had been in their current positions. The responses (in months) of 20 nurses were as follows.25 4 7 16 27 38 29 44 14 109 25 31 28 30 13 22 33 10 38 (a). Select one of the box-and-whisker plot of the data (look at the screenshot). (b). Find the interquartile range.
A sales manager collected the following data on x = years of experience and y = annual sales ($1,000s). The estimated regression equation for these data is ý = 80 + 4x. Years of Annual Sales Salesperson Experience ($1,000s) 1 1 80 3 97 3 4 92 4 4 102 103 6 8 111 7 10 119 8 10 123 9 11 117 10 13 136 (a) Compute the residuals. Years of Annual Sales Residuals Experience ($1,000s) 1 80 97 4 92 4 102 6 103 8 111 10 119 10 123 11 117 13 136
The following table shows the annual expenditures, in dollars, per customer unit for residential landline phone services and cellular phone services in the United States in the given year.† Year Landline Cell 2004 592 378 2006 542 524 2008 467 643 2010 401 760 Calculate the regression line for each type of service. (Let t be the time in years since 2004, L be the operating revenue of landline phone services and C be the expenditure of cellular services. Round your regression parameters to two decimal places.) L(t) = C(t) = Determine the expenditure level at which the two lines cross. Round your answer for the expenditure level to one decimal place. million dollars
The table shows the national expenditures for health care in billions, in a country for the selected years from 1990 to 2020. Given the projection cost for the year 2002, identify the type of regression point. Year Exprenditures ($billions) 1991 1020 1994 1356 1998 1984 2004 2984 2009 3374 2016 4765 2020 5937 Interpolation Extrapolation Neither Both
Please provide solution and logic for questions attached, thanks!
I need help answering parts D, E and F.

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