For parts a and b, round all number values in your answer to the nearest hundredth. a) The linear regression equation is y = _________________________ b) The exponential regression equation is y = _________________________ c) Which regression model is the better choice, linear or exponential? _________________ d) To the nearest thousandth, what is the r-value for the better model? ________________ **Exercise 13: Analyzing Data with a Calculator**Use your calculator to make two lists and a scatterplot for the data below. Find both the linear and exponential equations-of-best-fit (regression equations) and the corresponding $ r $ values for each equation. Then answer the questions that follow.| $ x $ | $ y $ ||:------:|:------:|| 0 | 28 || 1 | 24.5 || 2 | 20.4 || 3 | 17 || 4 | 15.5 || 5 | 13.9 || 6 | 12.7 |**Instructions:**1. Enter the data into two lists on your calculator.2. Create a scatterplot based on the lists.3. Calculate the linear regression equation and note the correlation coefficient ($ r $).4. Calculate the exponential regression equation and note the correlation coefficient ($ r $).5. Compare the $ r $ values to determine which model best fits the data.

X Y 0 28 1 24.5 2 20.4 3 17 4 15.5 5 13.9 6 12.7 Note that here we will solve this…

For parts a and b, round all number values in your answer to the nearest hundredth. a) The linear regression equation is y = _________________________ b) The exponential regression equation is y = _________________________ c) Which regression model is the better choice, linear or exponential? _________________ d) To the nearest thousandth, what is the r-value for the better model? ________________

For parts a and b, round all number values in your answer to the nearest hundredth. a) The linear regression equation is y = _________ b) The exponential regression equation is y = _ c) Which regression model is the better choice, linear or exponential? _ d) To the nearest thousandth, what is the r-value for the better model? ________

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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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
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Fill in the blanks. a. The cross-product term in a regression equation is often referred to as an _______ term. b. If two predictor variables x1 and x2 interact, then the change in the conditional mean of y for a change of one unit in x2 (with x1 held fixed) depends on _______. c. In a regression model, the cross-product term between x1 and x2 is given by ________.
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