c. Exponential Trend: In(y) 1.50.09t se = 0.01 (Round intermediate calculations to at least 4 decimal...
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 estimated trend models. Use them to make a forecast for t=20. a. Linear Trend: ŷ = 14.32 +0.75t (Round Intermediate calculations to at least 4 decimal places and final answer to 2 decimal places.) b. Quadratic Trend: y - 17.78 +0.94 - 0.01 2 decimal places.) (Round Intermediate calculations to at least 4 decimal places and final answer to c. Exponential Trend: In(y) - 1.9.0.076 to 2 decimal places.) -0.02 (Round Intermediate calculations to at least 4...
Consider the following estimated models: Model 1: y-16 + 5.42x Model 2: y-29 + 29 In(x) Model 3: In(y) 2.0+0.10x, se 0.06 Model 4: In(y -2.4+0.36 In(; se 0.12 b. For each model, what is the predicted change in y when x increases by 4%, from 10 to 10.47 (Do not round intermediate calculations. Round final answers to 2 decimal places.) units units percent percent. Model 1:y increases Model 2: ý increases Model 3: increases Model 4:y increases by by...
Round all intermediate calculations to at least 4 decimal places) Based on the are predictions of 47 members of the National Association of Business Economists INABE the US gross domestic product (GDP) will expand by 32% in 2011 The Wall Street Journal May 21.2010) Suppose the sample standard deviation of their predictions was 1% Al a 5% significance level test if the mean forecast GDP of all NABE members is greater than 3% a. Select the null and the alternative...
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...
(Round all intermediate calculations to at least 4 decimal places.) Consider the following hypotheses: H0: μ ≤ 24.1 HA: μ > 24.1 A sample of 60 observations yields a sample mean of 25.4. Assume that the sample is drawn from a normal population with a known population standard deviation of 5.9. Use Table 1. a. Calculate the p-value. (Round p-value to 4 decimal places.) 0.05 Picture p-value < 0.10 p-value Picture 0.10 p-value < 0.01 0.01 Picture p-value < 0.025...
(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 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...
Round all intermediate calculations to at least 4 decimal places. Consider the following sample data, consisting of 20 observations. t 1 23 4 5 67 8 9 10 yt 8.1 15.1 12.4 11.2 8.9 10.2 13.2 9.1 13.3 13.3 t 11 12 13 14 15 16 17 18 19 20 yt 14.0 9.0 14.3 12.1 11.3 13.412.1 11.0 15.2 12.1 picture Click here for the Excel Data File The data are plotted below. 15.5 14.5 13.5 12.5 11.5 10.5 9.5...
(Round all intermediate calculations to at least 4 decimal places.) The following observations were obtained when conducting a two-way ANOVA experiment with no interaction. Use Table 4 lick here for the Excel Data File Factor A Factor B 4 4 6 J for Factor B 2.750 6.000 9.250 X 6.000 2 2 8 5.333 10 6.000 X, for Factor A 6.000 6.667 a. Calculate SST, SSA, SSB, and SSE. (Round your answers to 2 decimal places.) SST SSA SSB SSE...