Consider the following estimated trend models. Use them to make a forecast for t=20. a. Linear...
Consider the following estimated trend models. Use them to make a forecast for t= 24. a. Linear Trend: = 11.64 + 1.04t (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) Ў b. Quadratic Trend: û = 19.26 + 0.88t - 0.0172 (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) 9 c. Exponential Trend: In(y) = 2.4 +0.06t, se = 0.01 (Round intermediate calculations to...
Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R2 and adjusted R2. Intercept х x2 Linear 28.53 0.12 NA NA Quadratic 28.80 0.01 0.01 Cubic 28.62 0.15 -0.02 -0.01 x3 NA R2 Adjusted R2 0.005 -0.021 0.006 -0.048 0.006 -0.077 a. Predict y for x = 2 and 4 with each of the estimated models. (Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal...
c. Exponential Trend: In(y) 1.50.09t se = 0.01 (Round intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) 0.00 Consider the following estimated trend models. Use them to make a forecast for t 23.
Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R2 and adjusted R2. Linear Quadratic Cubic Intercept 9.66 10.00 10.06 x 2.66 2.75 1.83 x2 NA −0.31 −0.33 x3 NA NA 0.26 R2 0.810 0.836 0.896 Adjusted R2 0.809 0.833 0.895 a. Predict y for x = 1 and 2 with each of the estimated models. (Round intermediate calculations and final answers to 2 decimal places.) b. Select the most appropriate...
The accompanying data file contains 20 observations for t and yt. Actual series are plotted along with the superimposed linear and exponential trends. t y t y t y t y 1 1.91 6 4.93 11 5.96 16 15.58 2 3.57 7 6.78 12 9.02 17 12.33 3 5.83 8 4.58 13 9.52 18 13.95 4 5.39 9 7.19 14 14.02 19 15.63 5 2.78 10 8.81 15 14.57 20 19.77 The accompanying data file contains 20 observations for tand...
Consider the sample regressions for the linear, the logarithmic, the exponential, and the log-log models. For each of the estimated models, predict y when x equals 50. (Do not round intermediate calculations. Round final answers to 2 decimal places.) Response Variable: y Response Variable: ln(y) Model 1 Model 2 Model 3 Model 4 Intercept 18.52 −6.74 1.48 1.02 x 1.68 NA 0.06 NA ln(x) NA 29.96 NA 0.96 se 23.92 19.71 0.12 0.10 Model 1 Model 2 Model 3 Model...
a. Obtain the linear trend equation for the following data on new checking accounts at Fair Savings Bank and use it to predict expected new checking accounts for periods 16 through 19. (Round your intermediate calculations and final answers to 2 decimal places.) Period New Accounts Period New Accounts Period New Accounts 1 200 6 239 11 281 2 212 7 243 12 275 3 211 8 250 13 287 4 222 9 251 14 288 5 235 10 267...
a. Obtain the linear trend equation for the following data on new checking accounts at Fair Savings Bank and use it to predict expected new checking accounts for periods 16 through 19. (Round your intermediate calculations and final answers to 2 decimal places.) Period New Accounts Period New Accounts Period New Accounts 1 200 6 237 11 281 2 212 7 249 12 275 3 211 8 250 13 287 4 222 9 255 14 288 5 235 10 267...
(Round all intermediate calculations to at least 4 decimal places.) Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R2 and adjusted R2. Linear Quadratic Cubic Intercept 25.97 20.73 16.20 x 0.47 2.82 6.43 x2 NA −0.20 −0.92 x3 NA NA 0.04 R2 0.060 0.138 0.163 Adjusted R2 0.035 0.091 0.093 pictureClick here for the Excel Data File a. Predict y for x = 3 and 5 with each of the...
Consider a binary response variable y and two explanatory variables xy and x2. The following table contains the parameter estimates of the linear probability model (LPM) and the logit model, with the associated p-values shown in parentheses. Constant .40 -2.30 x1 x2 0.06 (0.03) 0.36 0.90 (0.03)(0.07) -0.03-0.10 (0.02) (0.01) a. At the 5% significance level, comment on the significance of the variables for both models. Logit gnificant 0 (Not significant x1 x2 b. What is the predicted probability implied...