Question: Consider the following time series data. Week 1 2 3 4 5 6 Value 20 14 15 10 17 16 Q1. Which forecasting method is
Consider the following time series data.
| Week | 1 | 2 | 3 | 4 | 5 | 6 |
| Value | 20 | 14 | 15 | 10 | 17 | 16 |
Q1.
Which forecasting method is better to forecast for period 7 based on Mean absolute error? Naive or exponential smoothing?
Group of answer choices
A. Exponential Smoothing
B. Naive
Q2.
| 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. Use a minus sign for negative numbers, if any. |
y-intercept, b0 =
Q3.
| 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. Use a minus sign for negative numbers, if any. |
Slope, b1 =
Q4.
| 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. Use a minus sign for negative numbers, if any. |
What is the forecast for t = 8?
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