An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a linear trendequation and the naive approach. The linear trend equation is F+ = 122 +1.9t, and it was developed using data fromperiods 1 through 10. Based on data for periods 11 through 20 as shown in the table, which of these two methods hasthe greater accuracy if MAD and MSE are used? (Round your intermediate calculations and final answers to 2decimal places.)t11121314151617181920UnitsSold143149152145155152154159159162Click here for the Excel Data FileMAD (Naive)MAD (Linear)MSE (Naive)MSE (Linear))

The question is about forecasting.Given :To find :1 ) MAD, MSE for both the methods naive and…

Answered: An analyst must decide between two…

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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KidsFeet Regression Line y-Intercept The KidsFeet dataframe contains data collected on 39 fourth grade students in Ann Arbor, MI, in October 1997. Two of the measurements taken on the children were the length in centimeters, (length), and width in centimeters, (width), of their longest foot. This data could be used to answer the following Research Question: How is the width of a fourth-grade student's foot related to the length? Which of the following is the y-intercept of the regression line? ## ## Simple Linear Regression## ## Correlation coefficient r = 0.6411 ## ## Equation of Regression Line:## ## length = 9.817 + 1.658 * width ## ## Residual Standard Error: s = 1.025 ## R^2 (unadjusted): R^2 = 0.411 ( ) 1.0248 ( ) 1.6576 ( ) 22.8153 ( ) 0.411 ( ) 9.8172 ( )0.6411
An analyst must decide between two different forecasting techniques for weekly sales of roller blades: a linear trend equation and the naive approach. The linear trend equation is F = 124 + 2.1t, and it was developed using data from periods 1 through 10. Based on data for periods 11 through 20 as shown in the table, which of these two methods has the greater accuracy if MAD and MSE are used? (Round your intermediate calculations and final answers to 2 decimal places.) Units Sold 11 144 12 146 13 152 142 15 152 16 149 17 152 18 154 19 157 20 164 Click here for the Excel Data File: MAD (Naive) MAD (Linear) MSE (Naive) MSE (Linear) 4 56 N 00 o o
Question 6, 3.3.30
1.
Make this statistical data an equation.
Illustration 15.37. You are given the following data: y 85 Arithmatic mean 36 S.D. 11 Coefficient of correlation = 0.66. (i) Find the two regression equations. (ii) Estimate the value of x when y = 75.
Most people know that their chances of getting cancer increase as they age. In fact, by looking at data compiled by the National Cancer Institute you can readily see that incidence of cancer increases dramatically between the ages of 35 and 80. Medicine Students initially assumed that this relationship is linear with R = 0.80. Are the students correct? Test if the data fits better to other models.
Below is the actual data on the speed a person walks or runs in miles/hour and the calories the person burns per lap. Find the linear equation of best fit for this data. Compare the model to the data. Does the model seem to fit the data? Explain. What is the significance of the y-intercept? What is the slope and what does it mean? What is the x-intercept and what does it mean? What is the correlation coefficient and what does it mean? Speed (mph) Calories/lap 1 42 2 31 3 27 4 41 5 40 6 40 7 39 8 38 r answers to the nearest hundredth. The y-intercept means that if a person runs at ----------mph they will burn__________ per lap. The slope means that for each mph you increase your speed, you will burn an additional------------calories pay lap
Question 6, 3.3.30
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.4 8.1 6.6 3.3 2.4 2.3 2.1 0.4 yy 13.7 10.7 9.4 7.1 6.3 6 6 4.1 xx = thousands of automatic weaponsyy = murders per 100,000 residentsThis data can be modeled by the equation y=0.83x+4.1.y=0.83x+4.1. Use this equation to answer the following;Special Note: I suggest you verify this equation by performing linear regression on your calculator.A) How many murders per 100,000 residents can be expected in a state with 4.2 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 1.9 thousand automatic weapons?Answer = Round to 3 decimal places.

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