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ANSWER:
Interpretation of the Prediction interval :
The 95% prediction interval is (8.1160, 2800.9).
This means that the produced of next individual item of the response variable y using the value of x of our 15th observation will fall within the interval (8.1160, 2800.9) with 95% confidence.
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10. Use the computer to create a prediction interval for the Y for the values of...
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HELP ASAP
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#2 Options The Prediction Interval would: -be identical to the confidence interval- -have the sam...
#2 Options
The Prediction Interval would:
-be identical to the confidence interval-
-have the same center as, but would be narrower than the
confidence interval-
-be to the left of the confidence interval-
-be to the right of the confidence interval-
-have the same center as, but would be wider than the confidence
interval-
#3 Options
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HELP ASAP
Consider the following time series data: 1 2 3 Y 4 7 9 . 10 Calculate a 90% prediction interval for the value of Y at time period t = 6 (ie, h = 2 periods ahead). Hint: You will first need to fit the model using Excel to obtain the regression output, which will give you some of the values you need for the prediction interval. Then, you will need to calculate the average and standard deviation...
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#2 Options
The Prediction Interval would:
-be identical to the confidence interval-
-have the same center as, but would be narrower than the
confidence interval-
-be to the left of the confidence interval-
-be to the right of the confidence interval-
-have the same center as, but would be wider than the confidence
interval-
#3 Options
The interval computed from a mileage of 31.0 would:
-be narrower but have the same center-
-be wider but have the same center-
-be...
A straight line is fitted to some data using least squares.
Summary statistics are below.
n=10, I = 5, y =12, SSxx=139, SSxy=128, SSyy=155 The least squares intercept and slope are 7.40 and 0.92, respectively, and the ANOVA table is below. Source DF SSMS Regression 1 117.87 117.87 Residual 8 37.13 4.64 Total ||155 [2 pt(s)] What is the estimated mean value for y when x=8? Submit Answer Tries 0/3 [2 pt(s)] If the fitted value for y is 20,...
5. Using the estimated regression equation for estimation and prediction Aa Aa Market model is a term used in finance to describe a linear regression model in which the dependent variable is the return on a stock and the independent variable is the return on the overall market. The market model is sometimes extended to include other independent variables-for example, the return on a specific industry sector. Company A is one of the leading software companies in the world. Suppose...
Try It Yourself 3 Construct a 95% prediction interval for the carbon dioxide emissions when the gross domestic product is $4 trillion. What can you conclude? a. Specify n, d.f., le, se b. Calculate y when x = 4. c. Calculate the margin of error E. d. Construct the prediction interval. e. Interpret the results. Answer: Page A45 TION AND REGRESSION EXAMPLE 2 SC Report 42 Finding the Standard Error of Estimate The regression equation for the gross domestic products...
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The variables are x=SP500 market monthly log return and y = monthly return of Yahoo for 48 months beginning in January 2008. For input into R, the data vectors for monthly market return and monthly stock return are x=c(-0.0631 14.-0.03538,-0.005977, 0.046451. 0.01 061 8,-0.089884,-0009908, 0.012 117,-0.095181,-0. 185636,-0.077798, 0.007791.-0.08955,-0.1 16457, 0.081953, 0.089772, 0.051721 0.000196, 0.071522, 0.033009, 0.0351, -0.01996, 0.055779, 0.017615, -0.037675, 0.028115, 0.057133, 0.014651,-0.085532, -0.055388, 0.066516, -0.048612, 0.083928, 0.036193, -0.002293, 0.063257, 0.022393, 0.031457,-0.001048, 0.028097, -0.013593, -0.018426, -0.021708, -0.058467, -0.074467, 0.102307, -0.005071,...
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