Consider the following data:MonthProfit ($)Monthly Profit of an Auto Repair ShopMar-14 Apr-14 May-14 Jun-14Jan-14 Feb-14Jul-14Aug-14Sep-1416,113 16,263 15,055 17,117 18,763 17,210 19,141 18,468 20,254Step 2 of 4: Determine the three-period weighted moving average for the next time period with weights of 3 (most recent), 2 (second latest time period), and 1 (oldesttime period). If necessary, round your answer to one decimal place.

The provided information is as follows: MonthProfit…

Answered: Consider the following data: Monthly…

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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Perform rank correlation analysis on the following data set: x y -5 1.9 -4 0.9 -3.25 0.7 -2.55 -0.5 -1.85 -1.2 -0.9 -1.7 5.5511151231258E-17 0.7 0.8 1.5 1.55 1.6 2.35 -0.1 3.3 0.8 4.1 -1.1 5.1 -0.9 5.8 -0.8 6.7 0.7 What is the rank correlation coefficient? (Round to three decimal places.) What is the critical rho value at a 0.01 significance? Do we have correlation? Yes, the rank correlation coefficient is smaller (in absolute value) than the critical rho value. No, the rank correlation coefficient is larger (in absolute value) than the critical rho value. No, the rank correlation coefficient is smaller (in absolute value) than the critical rho value. Yes, the rank correlation coefficient is larger (in absolute value) than the critical rho value.
Consider the following data: Month Profit ($) Answer Monthly Profit of an Auto Repair Shop Jan-14 Feb-14 Mar-14 Apr-14 May-14 Jun-14 Jul-14 Aug-14 Sep-14 15,608 15,758 14,555 16,612 18,263 17,160 19,147 18,413 20,194 Step 2 of 4: Determine the three-period weighted moving average for the next time period with weights of 3 (most recent), 2 (second latest time period), and 1 (oldest time period). If necessary, round your answer to one decimal place. Keypad Keyboard Shortcuts Tables
Calculate the coefficient of correlation between price and the supply of a commodity for the data given below. 11 12 13 14 15 16 17 18 19 20 21 22 Price Supply (kgs) 25 24 24 24 21 18 15 20 21 30 29 29
The following regression is fitted using variables identified that could be related to student requestedloan amount, LOAN-AMT($) for returning students of a certain University. ????−??? = ? + ? ?????? + ? ???? + ? ????Where ACCEPT = the percentage of applicants that was accepted by the university, PREV = previous loan amount and OUTS =outstanding loan amountThe data was processed using MNITAB and the following is an extract of the output obtained:EXHIBIT 2Predictor Coef StDev T PConstant -26780 6115 * 0.000ACCEPT 116.00 37.17 3.14 0.003PREV -4.21 14.12 -0.30 **OUTS 70.85 15.77 4.49 0.000S = 2685 R-Sq = 69.6% R-Sq(adj) = 67.7%Analysis of VarianceSource DF SS MS F PRegression 3 808139371 269379790 37.37 0.00Residual Error 49 353193051 7208021Total 52 1161332421a)What is dependent and independent variables? b)Fully write out the regression equation c)What is the sample size used in this investigation? d)Fill in the blanks identified by ‘*’ and ‘**’. e)Is β significant, at the 5% level of…
Mlustration 12. From the following data compute the 3-yearly and 5-yearly moving averages and: Year : 1 3 4 7 8 9. 10 11 Values : 25 30 34 37 39 40 40 39 37 34 30
Which of these graphs show a normal distribution probability?
The following are the monthly figures of advertising expenditure and sales of a firm. It is generally found that advertising expenditure has its impact on sales after 2 months. Allowing for this time lag, calculate coefficient of correlation. Advertising Expenditure ('000) Sales Months Advertising Expenditure ('000) Months Sales 1,200 July Aug. Jan. 50 140 2,400 Feb. 60 1,500 160 2,600 March 70 1,600 Sep. 170 2,800 90 2,000 Oct. 190 2,900 April May 120 2,200 Nov. 200 3,100 June 150 2,500 Dec. 250 3,900
As part of the preliminary analysis of the data provided in Table D, the researcher produced the scatter plot below. Average taings, mo = e Scatter plot of Sales vs Earnings (IV) (V) (VI) A. (I), (II), and (VI) B. (II), (III), and (V) C. (III), (IV), and (V) D. (II), (IV) and (V) 40 . 50 Average Annual Sales 60 Which THREE of the following assumptions are inferable or discernible from the scatter plot? (1) Whether the sample of 20 MSMEs is representative of the population of MSMEs in the Western Cape province. Whether the assumption of a linear relationship between the independent variable and the dependent variable has been met or violated. Whether the assumption of normality of the independent variable and the dependent variable has been met or violated. The absence or presence of outliers in the data set. The direction of the relationship between the independent variable and the dependent variable. The significance of the relationship between the independent variable and the…
Which best describes the slope of the trendline pictured?
Create a scatter diagram for this correlation with time on social networking sites along the x axis

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