Please show me how to find the regression equation on excel for this data, when I try to do it it says 'Input range contains non-numeric data.'' please help (a) Develop the estimated regression equation to show how overall customer satisfaction is related to the independent variable average meal price. (Round your numerical values to two decimalplaces.)ŷ = 69.28 +0.56x(b) At the 0.05 level of significance, test whether the estimated regression equation developed in part (a) indicates a significant relationship between overall customer satisfaction and average mealprice. (Use an F test.)State the null and alternative hypotheses.Ho: B₁ ≤ 0Ha: B₁ > 0Ho: B₁ 20Ha: B₁ <0Ho: P₁ = 0Ha: B₁ > 0= 0Ho: P₁Ha: B₁ * 0Find the value of the test statistic. (Round your answer to two decimal places.)20.37X сPrice ($)1624265Bravo! Cucina Italiana186Buca di Beppo177 Bugaboo Creek Steak HouseSeafood/S 188 Carrabba's Italian Grill23ItalianSeafood/S9 Charlie Brown's Steakhouse1710Italian2811 Joe's Crab ShackSeafood/S 1512 Johnny Carino's ItalianItalian1713 Lone Star Steakhouse & Saloon Seafood/S17Seafood/S 19ItalianSeafood/SItalianSeafood/SSeafood/SItalianItalianItalianA1 Restaurant2 Bertucci's3 Black Angus Steakhouse4 Bonefish GrillIl Fornaio14 LongHorn Steakhouse15 Maggiano's Little Italy16 McGrath's Fish House17 Olive Garden18 Outback Steakhouse19 Red Lobster20 Romano's Macaroni Grill21 The Old Spaghetti Factory22 Uno Chicago Grill23242526BTypeItalianSeafood/SSeafood/SItalianItalianP2EE8882616192018181216DScore777985848177867583718176818381818078827976EFGHIJKLM

(a) Use EXCEL to determine the regression equation. EXCEL procedure: Go to EXCEL Go to…

Answered: (a) Develop the estimated 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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According to an article the bottled water you are drinking may contain more bacteria and other potentially carcinogenic chemicals than are allowed by state and federal regulations. Of the more than 1100 bottles studied, nearly one-third exceeded government levels. Suppose that a department wants an updated estimate of the population proportion of bottled water that violates at least one government standard. Determine the sample size (number of bottles) needed to estimate this proportion to within ±0.02 with 99% confidence. The sample size needed to estimate this proportion to within ±0.02 with 99% confidence is?
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The average August temperatures (y) and geographic latitudes (x) of 13 cities in the United States were studied. The regression equation for these data isTemperature = 127 -1.68*(latitude)What is the slope of the line? Estimate the mean August temperature for a city with latitude of 11.Use 2 decimal placesSan Francisco has a latitude of 40. What would you predict for the mean August temperature of San Francisco?Use 2 decimal placesGiven that the mean August temperature in San Francisco is actually 70 calculate the residual (prediction error) for San Francisco.It should be observed minus predicted. If you do it wrong your answer have the positive and negative switchedUse 2 decimal placesThe latitude at the equator is 0. Estimate the average August temperature at the equator.Use 1 decimal place
Construct the equation of the regression line. An editing firm compiled the following table which lists the number of pages contained in a piece of technical writing and the cost of proofreading and correcting them (in dollars). Assume there is a significant linear relationship between X and Y and construct the equation of the linear regression line. Number of Pages, x 7 12 4 14 25 30 Cost, y 128 213 75 250 446 540 a.) y^= 17.9(x) + 1.6 b.) y^= 7.1(x) + 15.4 c.) y^= 15.4(x) + 7.1 d.) y^= 1.6(x) +
Please show all working manually
A frequent flyer was interested in the relationship between dollars spent on flying and the distance flown. She sampled 20 frequent flyers of a certain airline. She collected the number of miles flown in the previous year and the total amount of money the flyer spent. A regression line of distance flown on money spent was fit to the data: \hat y = 24000 + 10xy^=24000+10x. A person who spent $1000 is predicted to have flown:
Use StatKey or other technology to find the regression line to predict Y from X using the following data. Click here to access StatKey. Round your answers to three decimal places. ^ The regression equation is Y = i X 3 Y 1.5 5 2 7 6 3 + i 1 5.5 3.5 X.
If you have 2 datasets on which you have conducted a regression analysis, how would you determine whether you can combine them into one dataset?
Please answer this questions I need help from expert. I will give likes to your answer answr in 10 minutes. Thanks. Don't copy from any websites
How to do a multi regression model using excel

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