An analyst must decide between two different forecasting techniques for weekly salesof roller blades. Based on the following data, answer the below questions.timeUnits sold14714815114515515215515716010165What's the forecast for period 11 using 3 period moving average?12345678O 160161157158

The data shows the weekly sales of roller blades.

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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For the data set, perform a 3 month moving average to determine the forecast for month 13. Show all work in an Excel file. month rate 1 9.5 2 9.3 3 9.4 4 9.6 5 9.8 6 9.7 7 9.8 8 10.5 9 9.9 10 9.7 11 9.6 12 9.6
The following data represents the winning percentage (the number of wins out of 162 games in a season) as well as the teams Earned Run Average, or ERA.The ERA is a pitching statistic. The lower the ERA, the less runs an opponent will score per game. Smaller ERA's reflect (i) a good pitching staff and (ii) a good team defense. You are to investigate the relationship between a team's winning percentage - Y, and its Earned Run Average (ERA) - X. Winning Proportion - Y Earned Run Average (ERA) - X 0.623457 3.13 0.512346 3.97 0.635802 3.68 0.604938 3.92 0.518519 4.00 0.580247 4.12 0.413580 4.29 0.407407 4.62 0.462963 3.89 0.450617 5.20 0.487654 4.36 0.456790 4.91 0.574047 3.75 (b) Use R-Studio to find the least squares estimate of the linear model that expressed a teams winning percentage as a linear function of is ERA. Use four decimals in each of your answers.Y^i = ? + - Xi(e) A certain professional baseball team had an earned run average of 3.45 this past…
Mrs. Pearce conducted a survey in her class on the ages of famous people. The table below shows the results of her survey. Guess Actual Age 18 25 28 39 50 36 72 Which equations could best represent the line-of-best-fit for the given data set? F. G. 15 28 24 42 56 45 80 y = 1.19x - 4.3 H. J. y = 0.81x + 4.56 y = -1.19x +4.3 y = -0.81x - 4.56 DRAN
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X Y 11.4 8.4 6.6 13.7 11 9.3 X = thousands of automatic weapons y = murders per 100,000 residents 3.7 7.5 This data can be modeled by the equation y = Answer = 2.4 2.6 2.4 0.4 6.3 5.9 6.2 4.1 to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. Answer = 0.84x +4.01. Use this equation A) How many murders per 100,000 residents can be expected in a state with 6.2 thousand automatic weapons? Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 6.9 thousand automatic weapons? Round to 3 decimal places.
The table gives information about the number of people staying in a hotel each quarter in 2020 and in 2021.Calculate the 4-point moving averages for this information. year 2020 2021 quarter 1 2 3 4 1 2 3 4 people 261 353 372 290 193 309 292 202
Use this dataset for your analysis software. Cost-to-charge ratio (the percentage of the amount billed that represents the actual cost) for inpatient and outpatient services at 11 Oregon hospitals is shown in the following table. A scatterplot of the data is also shown. Hospital 1 2 3 O No 4 5 6 7 8 9 10 11 No No 100 90 80 70 60 50 Cost-to-Charge Ratio Outpatient Inpatient Care Care 45 62 66 63 51 75 65 56 45 48 71 54 å Inpatient 55 80 76 75 62 100 88 64 50 54 83 100 65 Outpatient The least-squares regression line with y = inpatient cost-to-charge ratio and x = outpatient cost-to-charge ratio is ý = -1.1 + 1.29 x. (a) Is the observation for Hospital 11 an influential observation? Yes (b) Is the observation for Hospital 11 an outlier? Yes 75 (c) Is the observation for Hospital 5 an influential observation? O Yes O No (d) Is the observation for Hospital 5 an outlier? O Yes O No
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.5 8.4 6.8 3.4 2.5 2.6 2.6 0.9 13.5 10.9 9.8 6.7 6.3 6.4 4.5 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation 0.83x + 3.99. 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 8.4 thousand automatic weapons? Answer Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 7.3 thousand automatic weapons? Answer Round to 3 decimal places.
Table 9.3 Total cholesterol in 25 patients after taking new statin drug. .. Population mean is 200. Cholesterol levels 219 191 198 214 163 264 248 182 235 209 152 148 145 189 213 230 181 180 100 219 102 249 282 188 264 D. b. Describe the effects of the statin drug on your sample. Do you see any change in the level of cholesterol after taking the drug? c. What is your research question? What are the null and alternative hypotheses? Decide if you want to do a one-tailed or two-tailed test. d. What test? Perform it? What is your critical value? Sketch a normal distribution and draw the critical value or values of z. f. What is your conclusion?
Susan, a personal trainer, was interested in whether or not there was a linear relationship between the number of visits her clients made to the gym each week and the average amount of time her clients exercised per visit. She took the following data. Client 1 2 3 4 5 6 Number of visits per week 1 3 4 2 3 5 Average time spent exercising per visit (hours) 2 1.5 1 2 2 0.30 Using the best fit line, estimate the average time spent exercising per visit for 4 visits per week. Group of answer choices 1.03 hours 1 hour 10.3 hours 2 hours

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