Can you help to solve these two math problem?

Thanks!!

Problem 8-1 Consider the following time series data. Week 1 2 3 4 5 6 Value 20 13 15 10 19 15 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (3) Mean absolute error If required, round your answer to one decimal place. 80 (b) Mean squared error If required, round your answer to one decimal place. 679 (c) Mean absolute percentage error If required, round your intermediate calculations and nal answer to two decimal places. 70 (d) What is the forecast for week 7? 50 Problem 08-21 4 Question 13 of 13 Check My Work Problem 8-21 The president of a small manufacturing rm is concerned about the continual increase in manufacturing costs over the past several years. The following gures provide a time series of the cost per unit for the rm's leading product over the past eight years. Click on the datafile logo to reference the data. DATA .- file Year Cost/Unit ($) Year Cost/Unit ($) 1 20.00 5 26.60 2 24.50 6 30.00 3 28.20 7 31.00 4 27.50 8 36.00 (a) Choose the correct time series plot. (i) scan "no we: , a $25\" ' moo ' 515m - 5M ' sue - (ii) What type of pattern exists in the data? Trend Pattern 9 (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. yintercept, b0 = 20.01 @ Slope, bl = 1.77 @ MSE = 0 (c) What is the average cost increase that the rm has been realizing per year? Round your interim computations and final answer to two decimal places. $ 1.77 9 (d) Compute an estimate of the cost/unit for next year. If required, round your answer to two decimal places. 35 35.96 9