Answer Happy

Forecasting The following data was generated by looking at the closing price of Amazon Stock from 2016 to 2021. Regression Statistics 0.99889590 Multiple R 0.99779303 R Square 2 Adjusted R 0.99778950 Square Standard Error 40.906766 Model 39 Observations 1254 ANOVA df SS MS F Model Significant? 946437660.7 Regression Residual Total 948531038.5 Lower 95% Upper 95% Stat Sig? Intercept Standard Coefficients Error 7.82172830 4 3.851869977 0.99924530 7 0.001329806 -9.4281E-07 5.63494E-07 Close Lag 1 Vol Lag 1
1) Using the data above, fill in the blanks. 2) What is your forecasting model based upon this data? 3) Understanding that "Close Lag 1" can be interpreted as "Closing Price today" and "Vol Lag 1" represents "Trading Volume today", use the values in your forecasting model above to figure out what tomorrow's price" will be. Assume Today's Price is $3,488.98 and Today's Vol is 3,074,000. 4) If Tomorrow's Price is $3,482.05, does your calculated value above seem close? 5) What is the 95% confidence interval for your calculated "Tomorrow's Price"? 6) Given the R^2 value above, does it look like a good model? 7) Given the difference between your forecast price vs the actual price, does it seem like that good of a model?