Need help with the following 4 questions: For #12, no idea #13, its either b) or d) kind of split between the 2 #14, lea
Posted: Wed May 11, 2022 3:39 pm
Need help with the following 4 questions:
For #12, no idea
#13, its either b) or d) kind of split between the 2
#14, leaning towards either a) or b), not too sure
#15, I'm thinking its d), around 70% sure
Please provide an explanation with your answers as to why you
chose that option. Thanks.
Question 12 (4 points) A data science student is using three machine learning algorithms to analyze a given dataset. She tests her model first with a Decision Tree, secondly with a Logistic Regression and then with a Naive-Bayes algorithm. She uses 10-fold Cross Validation for each model. She makes sure that the three algorithms get the same test set. Then, she records the Accuracy for each fold. Which test would be more appropriate for her to use to compare the performance of these models? Friedman Test One-Way ANOVA Test Two-Way ANOVA Test Paired t-Test Wilcoxon Signed Rank Test Kruskal-Wallis Test
Question 13 (4 points) Consider X randomly selected samples taken from a normal distribution. The population mean is believed to be 37.2. X = (28.8, 28.9, 38.3, 34.2, 41.5, 34.9, 28.2, 38.1, 33.9, 31.5) Họ : = 37. 2, Ha : A37. 2 The t statistic and corresponding p-value is given as below; t = -2.3501, df = 9, p-value = 0.0433 alternative hypothesis: true mean is not equal to 37.2 95 percent confidence interval: 30.58616 37.07384 sample estimates: mean of x 33.83 Which on of the following statements is true; 5% of the times, the population mean will be between 30.59 and 37.07 interval. 95% of the times, the population mean will be between 30.59 and 37.07 interval. 5% of the times, the sample mean will be outside 30.59 and 37.07 interval. 95% of the times, the sample mean will be between 30.59 and 37.07 interval.
Question 14 (4 points) The mtcars dataset have gears variable representing the number of gears (3, 4 or 5) in a vehicle. Modeling mpg (miles per gallon) depending on the number of gears in a vehicle gives following output; Im(formula = mpg - gears, data = mtcars) Residuals: Min 1Q Median 30 Max -6.7333-3.2333 -0.9067 2.8483 9.3667 Coefficients: Estimate (Intercept) 16.107 gears4 8.427 gears5 5.273 Std. Error 1.216 1.823 2.431 t value 13.250 4.621 2.169 Pr(>1t1) 7.87e-14 *** 7.26e-05 *** 0.0384 * 1 Signif. codes: 0 ***** 0.001 0.01 '*' 0.05 0.11 Residual standard error: 4.71 on 29 degrees of freedom Multiple R-squared: 0.43, Adjusted R-squared: 0.39 F-statistic: 10.9 on 2 and 29 DF, p-value: 0.0002948 Choose a correct answer from the following. Model explains 61% of the variance in all data Model explains 39% of the variance in the gears Model explains 29% of the variance in residuals Model explains 39% of the variance in the mpg
Question 15 (4 points) The mtcars dataset have gears variable representing the number of gears (3, 4 or 5) in a vehicle. Modeling mpg (miles per gallon) depending on the number of gears in a vehicle gives following output; Im(formula = mpg - gears, data = mtcars) Residuals: Min 1Q Median 30 Max -6.7333-3.2333 -0.9067 2.8483 9.3667 Coefficients: Estimate (Intercept) 16.107 gears4 8.427 gears5 5.273 Std. Error 1.216 1.823 2.431 t value 13.250 4.621 2.169 Pr(>It) 7.87e-14 *** 7.26e-05 *** 0.0384 * Signif. codes: O'**** 0.001 '*** 0.01 0.05 0.1''1 Residual standard error: 4.708 on 29 degrees of freedom Multiple R-squared: 0.4292, Adjusted R-squared: 0.3898 F-statistic: 10.9 on 2 and 29 DF, p-value: 0.0002948 Given the model coefficients, what is the effect of 3 gears on mpg? 5.273 8.427 16.107 Model ignored 3 gears because the effect is insignificant
- Need Help With The Following 4 Questions For 12 No Idea 13 Its Either B Or D Kind Of Split Between The 2 14 Lea 1 (54.94 KiB) Viewed 17 times
- Need Help With The Following 4 Questions For 12 No Idea 13 Its Either B Or D Kind Of Split Between The 2 14 Lea 2 (76.6 KiB) Viewed 17 times
- Need Help With The Following 4 Questions For 12 No Idea 13 Its Either B Or D Kind Of Split Between The 2 14 Lea 3 (93.97 KiB) Viewed 17 times
- Need Help With The Following 4 Questions For 12 No Idea 13 Its Either B Or D Kind Of Split Between The 2 14 Lea 4 (85.84 KiB) Viewed 17 times
#13, its either b) or d) kind of split between the 2
#14, leaning towards either a) or b), not too sure
#15, I'm thinking its d), around 70% sure
Please provide an explanation with your answers as to why you
chose that option. Thanks.
Question 12 (4 points) A data science student is using three machine learning algorithms to analyze a given dataset. She tests her model first with a Decision Tree, secondly with a Logistic Regression and then with a Naive-Bayes algorithm. She uses 10-fold Cross Validation for each model. She makes sure that the three algorithms get the same test set. Then, she records the Accuracy for each fold. Which test would be more appropriate for her to use to compare the performance of these models? Friedman Test One-Way ANOVA Test Two-Way ANOVA Test Paired t-Test Wilcoxon Signed Rank Test Kruskal-Wallis Test
Question 13 (4 points) Consider X randomly selected samples taken from a normal distribution. The population mean is believed to be 37.2. X = (28.8, 28.9, 38.3, 34.2, 41.5, 34.9, 28.2, 38.1, 33.9, 31.5) Họ : = 37. 2, Ha : A37. 2 The t statistic and corresponding p-value is given as below; t = -2.3501, df = 9, p-value = 0.0433 alternative hypothesis: true mean is not equal to 37.2 95 percent confidence interval: 30.58616 37.07384 sample estimates: mean of x 33.83 Which on of the following statements is true; 5% of the times, the population mean will be between 30.59 and 37.07 interval. 95% of the times, the population mean will be between 30.59 and 37.07 interval. 5% of the times, the sample mean will be outside 30.59 and 37.07 interval. 95% of the times, the sample mean will be between 30.59 and 37.07 interval.
Question 14 (4 points) The mtcars dataset have gears variable representing the number of gears (3, 4 or 5) in a vehicle. Modeling mpg (miles per gallon) depending on the number of gears in a vehicle gives following output; Im(formula = mpg - gears, data = mtcars) Residuals: Min 1Q Median 30 Max -6.7333-3.2333 -0.9067 2.8483 9.3667 Coefficients: Estimate (Intercept) 16.107 gears4 8.427 gears5 5.273 Std. Error 1.216 1.823 2.431 t value 13.250 4.621 2.169 Pr(>1t1) 7.87e-14 *** 7.26e-05 *** 0.0384 * 1 Signif. codes: 0 ***** 0.001 0.01 '*' 0.05 0.11 Residual standard error: 4.71 on 29 degrees of freedom Multiple R-squared: 0.43, Adjusted R-squared: 0.39 F-statistic: 10.9 on 2 and 29 DF, p-value: 0.0002948 Choose a correct answer from the following. Model explains 61% of the variance in all data Model explains 39% of the variance in the gears Model explains 29% of the variance in residuals Model explains 39% of the variance in the mpg
Question 15 (4 points) The mtcars dataset have gears variable representing the number of gears (3, 4 or 5) in a vehicle. Modeling mpg (miles per gallon) depending on the number of gears in a vehicle gives following output; Im(formula = mpg - gears, data = mtcars) Residuals: Min 1Q Median 30 Max -6.7333-3.2333 -0.9067 2.8483 9.3667 Coefficients: Estimate (Intercept) 16.107 gears4 8.427 gears5 5.273 Std. Error 1.216 1.823 2.431 t value 13.250 4.621 2.169 Pr(>It) 7.87e-14 *** 7.26e-05 *** 0.0384 * Signif. codes: O'**** 0.001 '*** 0.01 0.05 0.1''1 Residual standard error: 4.708 on 29 degrees of freedom Multiple R-squared: 0.4292, Adjusted R-squared: 0.3898 F-statistic: 10.9 on 2 and 29 DF, p-value: 0.0002948 Given the model coefficients, what is the effect of 3 gears on mpg? 5.273 8.427 16.107 Model ignored 3 gears because the effect is insignificant