Y, profit200315215100150d. Write the Quadratic Regression model.e. If you want to spend $52, how much would you profit?If you want to profit $210, how much can you spend?f.3. The following table represents the cost and profit of a business.X, cost1725364962Y, profit41835206.Write the Quadratic Regression model.h. If you want to spend $20, how much would you profit?If you want to profit $29, how much can you spend?g.i.4. The following table represents the cost and profit of a business.11

The quadratic regression is given by, Y=a+bX+cX2Where, a,b,c=constantsX is independent variableY is…

Answered: 25 36 49 62 X, cost 17 4 18 35 20 6. Y,…

25 36 49 62 X, cost 17 4 18 35 20 6. Y, profit g. Write the Quadratic Regression model. h. If you want to spend $20, how much would you profit? If you want to profit $29, how much can you spend? i.

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 sales manager collected the following data on annual sales for new customer accounts and the number of years of experience for a sample of 10 salespersons. Click on the datafile logo to reference the data. DATA file A, 140 Annual Sales ($1000s) +120 +100 +80 +60 Salesperson 1 +40 2 3 4 5 6 7 8 9 10 Years of Experience 1 + 3 4 a. Choose the correct scatter diagram for these data with years of experience as the independent variable. 4 6 8 10 10 11 13 Annual Sales ($1000s) 80 97 92 102 103 111 119 123 117 136
q4. Linear regression
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
Could you help me with Q9？Thanks a lot
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?
Regression analysis was applied between $ sales (y) and $ advertising (x) across all the branches of a major international corporation. The following regression function was obtained. ý: - 5000 + 7.25x If the advertising budgets of two branches of the corporation differ by $20,000, then what will be the predicted difference in their sales? O $217,500 $222,500 O $145000 O none of the above
Only answer this question if you can solve the 3 questions below that goes along with the chart, please answer it correctly this question deals with linear regressions
How much should a healthy Shetland pony weigh? Let x be the age of the pony (in months), and let y be the average weight of the pony (in kilograms). x 3 6 12 20 26 y 60 95 140 160 189 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? low moderate strong Would you say the correlation is positive or negative? positive negative (c) Use a calculator to verify that x = 67, x2 = 1265, y = 644, y2 = 93,546, and xy = 10,544. Compute r. (Round your answer to three decimal places.) As x increases from 3 to 26 months, does the value of r imply that y should tend to increase or decrease? Explain your answer. Given our value of r, y should…
Q25 The amount of fat (in grams) and the number of calories in 7 beef sandwiches at McDonalds were recorded. The fat content of the sandwiches ranges from 15 to 40 grams. The collected data are used to find the following regression equation stack C a l o r i e s with hat on top equals 110 plus 15 F a t A new burger containing 1 gram of fat is introduced. How many calories does the burger have? 15 125 The prediction is risky; this is extrapolation. 110
Use the cost model screenshot attached to answer the question. Thanks for the help. What is k? Round to the nearest integer.
Data x y 5 35 10 85 25 100 20 125 25 140 1. Plot the scatter diagram. 2. List all six of the possible models, equations and their R2values. 3. Which model is the best model?
2. Participants were kept awake for a certain number of hours before given a visuospatial task. Researchers measured how many correct responses each participant had. Results are shown below. Use alpha = .01. Number of Correct Hours Kept Awake (X) Responses (Y) 21 X = 10 SS, = 422 Y = 10 SS, = 690 2 4 19 %3D 6. 13 SPxy =-525 ху 5 20 S, =5.70 S, = 7.29 9. 11 10 9. 14 5 15 5 17 2 18 1 17 1 13 4 18 8 11 A. Graph the data. B. State the hypotheses. C. Make a decision about the null. a. Calculate Pearson's r i. Decision about null hypothesis? b. Calculate effect size i. Interpret effect size. D. State your conclusion. E. Relate your conclusion to the research. F. Calculate the regression formula. G. If someone was kept awake for 9 hours, what is the predicted number of correct responses?