8. A corporation owns several companies. The planner for the corporation believes theamount spent on advertising can predict the total sales of the company. She gathersthe following sales and advertising information from several of the companies for2015 (in millions).ADVERTISINGSALES12.5 3.5 21.4148 2612010.5 12.212.2 8.9 7.6 12.4 18.7100 157 58 67 123 196Develop the equation of the simple regression line to predict sales from advertisingexpenditures using these data.

Given data is Advertising(x) sales(y) 12.5 148 3.5 26 21.4 120 10.5 100 12.2 157 8.9…

Answered: A corporation owns several companies.…

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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Process the following data and interpret them, namely: - The Regression Equation! - Determine the correlation coefficient and explain the meaning of its value. How do you determine the sign of the correlation coefficient?
The table below gives the list price and the number of bids received for five randomly selected items sold through online auctions. Using this data, consider the equation of the regression line, Y=b0+b1x, for predicting the number of bids an item will receive based on the list price. Keep in mind, the correlation coefficient may or may not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Price in dollars 109 113 155 167 170 Number of Bids 10 11 12 13 17 Summation Table X Y XY X2 Y2 BID 1 109 10 1090 11881 100 BID 2 113 11 1243 12769 121 BID 3 155 12 1860 24025 144 BID 4 167 13 2171 27889 169 BID 5 170 17 2890 28900 289 SUM 714 63 9254 105464 823 Step 1: Find the estimated slope. Step 2: Find the estimated y-intercept. Step 3: Find the estimate value of y when x=113. Step 4: Determine if the statement "All points predicted by the linear model fall on the same line" is true or…
Plzzz explain
The following table shows worldwide sales of a type of phone and their average selling prices in 2012, 2013, and 2017. Year 2012 2013 2017 Selling Price p ($100) 4 3 2 Sales q (billions) 0.9 1 2 Find the regression line (round coefficients to one decimal place). q(p) = Use the regression line to estimate the demand (in millions of units sold) when the selling price was $350. million
Box office totals: The data is the 50 highest grossing films(as of 2021.) Box office totals are measured in billions of dollars. -create a scatter plot with the explanatory variable be the Year and response the Revenue (in billions). Make sure to make a copy of the scatterplot in the word document. -find the equation of the least square's regression line. -interpret the correlation coefficient, and coefficient of determination (One sentence each) -Is year a good predictor of the box office revenue? Give a 1 to 2 sentence reason why you think so or not?
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The datasetBody.xlsgives the percent of weight made up of body fat for 100 men as well as other variables such as Age, Weight (lb), Height (in), and circumference (cm) measurements for the Neck, Chest, Abdomen, Ankle, Biceps, and Wrist. We are interested in predicting body fat based on abdomen circumference. Find the equation of the regression line relating to body fat and abdomen circumference. Make a scatter-plot with a regression line. What body fat percent does the line predict for a person with an abdomen circumference of 110 cm? One of the men in the study had an abdomen circumference of 92.4 cm and a body fat of 22.5 percent. Find the residual that corresponds to this observation. Bodyfat Abdomen 32.3 115.6 22.5 92.4 22 86 12.3 85.2 20.5 95.6 22.6 100 28.7 103.1 21.3 89.6 29.9 110.3 21.3 100.5 29.9 100.5 20.4 98.9 16.9 90.3 14.7 83.3 10.8 73.7 26.7 94.9 11.3 86.7 18.1 87.5 8.8 82.8 11.8 83.3 11 83.6 14.9 87 31.9 108.5 17.3…
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