Consider the following time series data. Given that the analyst has found a liner trend in the data, he decided to use exponential smoothing with a smoothing parameter equals to 0.2 to forecast the future value of y. The predicted value of y at period 4 is closest to? 11 17 20

Section 10.2 Question #7 Listed below are systolic blood pressure measurements​ (in mm​ Hg) obtained from the same woman. Find the regression​ equation, letting the right arm blood pressure be the predictor​ (x) variable. Find the best predicted systolic blood pressure in the left arm given that the systolic blood pressure in the right arm is 85mm Hg. Use a significance level of 0.05.   Right Arm 103 102 96 79 79   Left Arm 174 167 147 143 145     View the critical values of the Pearson correlation coefficient r Data table Dialog content starts Critical Values of the Pearson Correlation Coefficient r n α=0.05 α=0.01 ​NOTE: To test H0​: ρ=0 against H1​: ρ≠​0,reject H0 if the absolute value of r is greater than the critical value in the table. 4 0.950 0.990 5 0.878 0.959 6 0.811 0.917 7 0.754 0.875 8 0.707 0.834 9 0.666 0.798 10 0.632 0.765 11 0.602 0.735 12 0.576…

1.8 Compute and compare the total electricity consumption of Sub-Saharan Africa to the United States in 2012. The population of Sub-Saharan Africa was 926 million, and the United States was 314 million. The per person consumption in the United States in 2012 was 12.96 MWh per year. Consult Fig. 1.11 for the per person consumption in Sub-Saharan Africa.

Consider the following time series.t                  1           2            3           4           5           6            7 Yt              120       110        100        96        94         92          88a. What type of pattern exists in the data?HorizontalSeasonal with upward trendDownward trendUpward trendSeasonal with downward trendb. Regression analysis yields the following forecast equation: 119.71 - 4.929t; what is the forecast for period 8? Round to the nearest hundredth.c. Regression analysis yields the following forecast equation: 119.71 - 4.929t; what is the MSE for this forecast method? Round to the nearest hundredth.