6 The number of internal disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: Year 1 2 3

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6 The Number Of Internal Disk Drives In Millions Made At A Plant In Taiwan During The Past 5 Years Follows Year 1 2 3 1 (14.2 KiB) Viewed 12 times

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6 The number of internal disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: Year 1 2 3 4 5 Disk Drives 142 160 196 204 220 a) Using simple linear regression, the forecast for the number of disk drives to be made next year = disk drives (round your response to one decimal place).

Help me solve this | All parts showing nal disk The number of internal disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: Year 1 2 3 ear regre The slope is determined using the equation: 4 5 The trend-line equation that relates demand for disk drives to year is: Demand Intercept + Slopex Year = Disk Drives 142 164 190 204 216 Exy-nxy Σχ? - π.χ. -2 -nx For the given data, n=5, x=3.00, y = 183.20, Ex² = 55.00, Exy = 2936.00, and x² = 2936.00. The value of slope (b) = 18.80 disk drives/year (round your response to two decimal places). Using the given data, the slope has been determined to be 18.80. The intercept can be determined using the equation: Intercept(a)= (y) -bx (where b is the slope). Slope(b) =

ework: Hv of internal disk Help me solve this | All parts showing mple linear regre The value of slope (b) = 18.80 disk drives/year (round your response to two decimal places). Using the given data, the slope has been determined to be 18.80. The intercept can be determined using the equation: Intercept(a)= (y) -bx (where b is the slope). Based on the given information, the intercept = 126.80 disk drives (round your response to two decimal places). Using simple linear regression, the forecast for the number of disk drives to be made next year = 239.60 dis drives (round your response to two decimal places). Based on the forecast developed using the simple linear regression, Error2 is found to be 86.40. To arrive upon the mean squared error, we need to divide Error² by 5 X The mean squared error (MSE) when using simple linear regression = 17.28 drives (round your response i two decimal places). The mean absolute percentage error (MAPE): MAPE= Error/Actual x 100, when using simple linear regression =% (round your response to two decimal places). n one decimal place).