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The president of a small manufacturing firm is concerned about the continual increase in manufacturing costs over the past several years. The following figures provide a time series of the cost per unit for the firms leading product over the past eight years. Click on the datafile logo to reference the data. DATA Year Cost/Unit () Year Cost/Unit (s) 20.00 24.50 28.20 27.50 26.60 30.00 31.00 36.00 (a) Choose the correct time series plot. Plot (ii) What type of pattern exists in the data? Trend Pattern (b) Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. If required, round your answers to two decimal places. y-intercept, bo-19.99 Slope, b1-1.77 MSE, 19.44 (c) What is the average cost increase that the firm has been realizing per year? Round your interim computations and final answer to two decimal places. 1.77

math   Statistics-And-Probability   
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Sog: Considex fonouwin3 givendlata ora tne given Ca) The aim s o Chouse the Corsect 3raph am Fraph s しse NINI TAs Scatter plot to krowtne apmopoiate grsapn Year values on γ-axis and cost vaoe s nyaxisScatterplot of Cost/unit vs Year 45 40 35 E 30 25 иго» 15 10 Year The trend observed is an increasing trend. Hence the correct time series plot is (ii).The regression equation to the data set. Fitted Line Plot Cost/unit = 19.99 + 1.774 Year 38 36 34 32 E 30 28 26 24 R-Sq R-Sq(adj) 197257 85.0% 82.5% 20 Year Regression Analysis: Cost/unit versus Year The regression equation is Cost/unit = 19.99 + 1.774 Year Model Summary S R-sq R-sq(adj) 1.97257 84.99% 82.48% Analysis of Variance MS 132.149 132.149 33.96 0.001 DF Source Regression Error Total 6 23.3463.891 7 155.495Cb) The e γegre S Sion equaton is Case: 19.99 +177 Here Y intercept l9.99 an the Slope of tneve9aeSiơ eNTor for the veTression is 1.97 He re the si ope oe the γegression equa tion.oeos e sents the avexage Cose increase tnat the fian nas beern ,, ヒhe average CoSt increase S フ

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