Given the following accuracy rates for k-fold cross-validation with k= 4, which model will we choose to make predictions and what is the accuracy rate for that model? Observations in the Validation Set 301-400 201-300 101-200 1-100 Model 1 69.5% 70.2% 71.8% 67.3% Model 2 72.2% 68.9% 71.5% 69.4%
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- Based on the following output tables, write all the panel data regression models. Which is a better model, FEM or REM? Justify your answer. Table A: Dependent Variable: PAYOUT_RATIO Method: Panel Least Squares Variable Coefficient Std. Error t-Statistic Prob. FOREIGN_DIRECTORS 158.8968 14.70223 10.80766 0.0000 FEMALE_DIRECTORS -4.463537 36.09961 -0.123645 0.9023 C 3.143324 5.364327 0.585968 0.5618 Effects Specification Cross-section fixed (dummy variables) R-squared 0.876583 Mean dependent var 38.31686 Adjusted R-squared 0.840284 S.D. dependent var 59.89422 S.E. of regression 23.93641 Akaike info criterion 9.397265 Sum squared…Based on the following output tables, write all the panel data regression models. Which is a better model, FEM or REM? Justify your answer. (200 words) Table A: Dependent Variable: PAYOUT_RATIO Method: Panel Least Squares Variable Coefficient Std. Error t-Statistic Prob. FOREIGN_DIRECTORS 158.8968 14.70223 10.80766 0.0000 FEMALE_DIRECTORS -4.463537 36.09961 -0.123645 0.9023 C 3.143324 5.364327 0.585968 0.5618 Effects Specification Cross-section fixed (dummy variables) R-squared 0.876583 Mean dependent var 38.31686 Adjusted R-squared 0.840284 S.D. dependent var 59.89422 S.E. of regression 23.93641 Akaike info criterion 9.397265…Samples of 100 8-hour shifts were randomly selected from the police records for each of two districts in a large city. The number of police emergency calls was recorded for each shift. The sample statistics are listed below. Region 1 2 Sample Size 100 100 Sample Mean 2.6 3.4 Sample Variance 1.24 2.54 Find a 90% confidence interval for the difference in the mean numbers of police emergency calls per shift between the two districts of the city. (Use μ₁ − μ₂. Round your answers to two decimal places.) calls per shift to calls per shift
- A model was built to predict house prices that included 8 variables. The Overall F test had a p-value equal to 0.0001, but all of the p-values for the t-test had p-values greater than 0.20. What does this indicate? The data is summarized. O There is a problem with extrapolation. O There is a problem with multicollinearity.When a t-test is used to compare pre- and post-treatment data. What does the t-test reveal about the difference between baseline and treatment?Evaluate the source for reputability, transparency, andbeing evidential. Scenario: In a study conducted by the Pew Research Center, 681 university students were surveyed. Of those surveyed, 32% reported experiencing food insecurity - and going without food to pay for textbooks and housing instead. Short answer A. The exact question reads "Within the last 30 days, have you gone without food to pay for textbooks or housing instead?": describe the type of data collected by this question as precisely as possible. B.University administrators were expecting a proportion closer to 9%. Without resortingto any analysis methods, does it appear that the result has statistical significance?
- Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight. Find the (a) explained variation, (b) unexplained variation, and (c) indicated prediction interval. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. For the prediction interval, use a 95% confidence level with an altitude of 6327 ft (or 6.327 thousand feet). Altitude Temperature3 598 3413 2219 -429 -2931 -4134 -58 a. Find the explained variation. (Round to two decimal places as needed.) b. Find the unexplained variation. (Round to five decimal places as needed.) c. Find the indicated prediction interval. __<y<__ (Round to four decimal places as needed.)Listed below are altitudes (thousands of feet) and outside air temperatures (°F) recorded during a flight. Find the (a) explained variation, (b) unexplained variation, and (c) indicated prediction interval. There is sufficient evidence to support a claim of a linear correlation, so it is reasonable to use the regression equation when making predictions. For the prediction interval, use a 95% confidence level with an altitude of 6327 ft (or 6.327 thousand feet). Altitude 2 8 13 23 28 31 32 Temperature 56 40 27 −1 −34 −41 −50 a. Find the explained variation. (Round to two decimal places as needed.) b. Find the unexplained variation. (Round to five decimal places as needed.) c. Find the indicated prediction interval. ______°F<y<______°FAn annual championship event is the most widely watched sporting event in a country each year. In recent years, there has been a great deal of interest in the ads that appear during the game. These ads vary in length with most lasting 30 seconds or 60 seconds. The accompanying data represent the ad length and ad scores from a recent championship. Assuming that the population variances from both types of ads are equal, construct, and interpret a 95% confidence interval estimate of the difference between the population mean score of the two types of ads. The confidence interval is ___ ≤μ1−μ2≤ ____. Interpret the confidence interval. Choose the correct answer below. A. One can say with 95% confidence that the difference between the population mean score of the 30-second ads and the 60-second ads falls in this interval. B. One can say with 5% confidence that the difference between the population mean score of the 30-second ads and the 60-second ads is smaller…
- How do I find the Lower and upper bound of a 95% prediction interval for the stopping interval if the vehicle is 45 miles per hour? How do I find the coefficent determination? How do I find the regression line? How do I find the Lower and upper bound of a 95% prediction interval for the mean stopping distance?The principal of an elementary school wanted to see if there are differences in the abilities of first, second, and third graders to render a three-dimensional image into a two- dimensional drawing (as judged by trained coders). All students were attending the same school, and data were collected during the same semester. What test I use? -Independent samples t test -ANOVA -Paired samples t test -CorrelationIn order to estimate the difference between the average Miles per Gallon of two different models of automobiles, samples are taken and the following information is collected. Sample Size 60 55 Sample Mean 28 25 Sample Variance 16 9 At 95% confidence develop an interval estimate for the difference between the average Miles per Gallon for the two models.