Below you are given the first five values of a quarterly time series of sales.YearTime Series Value Y,36Quarter124316420214421. Refer to data above. When a naïve method is used, what is the forecast on the sales in Quarter 2 of Year 2,a.20b.44с.27d. 3022. Refer to data in Q21. When a three-quarter moving average is used, what is the forecast on the sales in Quarter 2 ofYear 2.20.5b.44.3a.с.26.7d. 30.223. Refer to data in Q21. When a three-quarter weighted moving average (W1 0.5, W2 0.3, and W3 = 0.2) is used, whatis the forecast on the sales in Quarter 2 of Year 2. (Hint: F1+1= WD; + W2D + W3Da.24.4b. 30.2с.22.8d. 31.224. Refer to data in Q21. When an exponential smoothing model is used with a smoothing parameter alpha of 0.30 and a Q1-Year2 forecast is 20, what is the forecast on the sales in Quarter 2 of Year 2. (Hint: Fr1 = aY, + (1- a)F,)a.27.229.231.2d.b.с.33.225. Refer to data in Q21. The equation for the trend line of quarterly sales is F, = 24.4 + 1.2t. What is the forecast on thesales in Quarter 2 of Year 2. (Hint: 1=1 for Ql-Year 1, 2 for Q2-year 1, and so on)31.2b.30.4a.с.32.2d.31.6

From the given data we have found ,

Answered: Below you are given the first five…

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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The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. X Y 11.4 8.6 7.2 3.6 13.5 11.3 10.1 x = thousands of automatic weapons y = murders per 100,000 residents 2.4 2.8 2.3 0.9 7 6.1 6.6 5.9 4.7 This data can be modeled by the equation y = 0.83x +4.06. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. Answer = A) How many murders per 100,000 residents can be expected in a state with 2.7 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 11 thousand automatic weapons? Round to 3 decimal places.
37-38. Given the following data pairs (x, y): (1, 1.24), (2, 5.23). (3, 7.24). (4, 7.60), (5, 9.97), (6, 14.31), (7, 13.99).(8, 14.88), (9, 18.04), (10, 20.70). Find the regression equation O A. y = 0.490 x - 0.053 O B. y = 2.04 x O C. y = 1.98 x + 0.436 O D. y = 0.49 x
L3Q8.Find the type of relationship that exists between the two variables x and y in the scatter plot. A.Zero correlation B.Negative correlation C.Positive correlation D.None of the choices
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.6 8.5 7. 3.5 2.6 2.3 2.4 0.4 13.8 11 10 6.3 6.1 5.9 4.1 I = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation y = 0.85T + 3.97. Use this equation to answer the following; A) How many murders per 100,000 residents can be expected in a state with 1.2 thousand automatic weapons? Answer = Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 2.2 thousand automatic weapons? Answer = Round to 3 decimal places. Question Help: O Message instructor Submit Question to search 1O
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. Xx Y 11.8 14.1 11.5 9.8 7.1 6.2 6.5 x = thousands of automatic weapons y = murders per 100,000 residents 8.6 7 3.3 2.5 2.5 2.6 6 This data can be modeled by the equation y = 0.85x +4.07. Use this equation to answer the following; Answer decimal places. = A) How many murders per 100,000 residents can be expected in a state with 1.2 thousand automatic weapons? Answer = decimal places. Round to 3 0.9 4.7 B) How many murders per 100,000 residents can be expected in a state with 8.5 thousand automatic weapons? Round to 3
Data was collected on the number of pairs of shoes people own and the number of miles they walk per week. 2 = 0.38 . Then 38% of the variation in miles walked can be explained by the linear relationship between the in the number of shoes owned and the miles walked. 62% is attributable to other factors. false true
The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.6 8.5 7.1 3.4 2.6 2.8 2.6 0.7 y 13.8 11.3 9.9 6.8 6.4 6.7 6.1 4.4 x = thousands of automatic weapons y = murders per 100,000 residents This data can be modeled by the equation y = 0.85x +4.02. Use this equation to answer the following; Special Note: I suggest you verify this equation by performing linear regression on your calculator. Use the equation with the values rounded to two decimal places to make your predictions. A) How many murders per 100,000 residents can be expected in a state with 6.7 thousand automatic weapons? Round to 3 decimal places. B) How many murders per 100,000 residents can be expected in a state with 8 thousand automatic weapons? Answer= Answer = Round to 3 decimal places.
he table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. xx 11.3 8.5 7.2 3.4 2.5 2.7 2.1 0.5 yy 13.7 11 10.2 7.2 5.9 6.5 5.6 4.7 xx = thousands of automatic weaponsyy = murders per 100,000 residentsThis data can be modeled by the equation y=0.84x+4.09.y=0.84x+4.09. Use this equation to answer the following;A) How many murders per 100,000 residents can be expected in a state with 9 thousand automatic weapons?Answer = Round to 3 decimal places.B) How many murders per 100,000 residents can be expected in a state with 2.9 thousand automatic weapons?Answer = Round to 3 decimal places. Submit QuestionQuestion 18

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