Cameron+Ponton+-+Criterion-Referenced+Tests

Assume there are 3,600 cases in the validation dataset, and 12% of these cases have a value of 1 for churn (the primary/positive event). Questions a) to c) are based on data for the 3,600 cases (see table below). Depth (% Contacted) Model Cumulative Gain Cumulative Lift Decision Tree 34.42 6.84 Logistic Regression Neural Network 20.19 4.01 34.62 6.88 Decision Tree Logistic Regression Neural Network 10 64.90 6.06 10 36.06 3.15 10 62.50 5.54 Decision Tree 15 73.96 1.82 Logistic Regression Neural Network 15 49.04 2.62 15 82.21 3.97 Decision Tree Logistic Regression 20 78.39 0.87 20 59.13 2.01 Neural Network 20 86.54 0.86 a) Which model has the highest Cumulative Lift at a depth of 20%? What is the lift? b) If the Cumulative Gain at a depth of 10% for the Decision Tree is converted to number of primary/positive event cases, what will be the number of cases? Show your calculation. c) If the Cumulative Gain at a depth of 15% for the Neural Network model is converted to number of…

A simple regression model for 10 pair of data resulted in a standard error of 3.95 (i.e., Se = 3.95), and the. The sum of squares of error (SSE) is ______. Group of answer choices 187.23 171.63 156.03 140.42 124.82

Read the t statistic from the table of t distributions and circle the correct answer. A two-tailed test, a sample of 40 at a .01 level of significance; t = choice a,b,c,d as followed     2.708     1.328     1.96     2.567

Question 27, please. It uses the numbers / information from #26. Thank you.

The following information pertains to data that have been gathered in the process of estimating a simple least-squares regression: mean value of the dependent variable    30 mean value of the independent variable 10 Coefficient of the independent variable     3 Number of observations                            12  What is the "a" value for the least squares regression model?

The regression analysis is normally depicted as "y = Ax+ B." What does "A" indicate in the equation? A) It is the expected change in the independent variable for a one-unit change in the dependent variable OB) It is the significance level for the test OC) It is the expected change in the dependent variable for a one-unit change in the independent variable OD) The confidence interval

What is the test statistics and critical values. I got 4.20 for the test statistic, but it says its incorrect.

answer the blank part please ASAP

A professor wants to investigate the relationship between the grades students obtain in their midterm exam (X) and the grades they obtain (Y) in the final exam. The professor collects data from 60 randomly chosen students. The estimated OLS regression is Ý = 45 +0.85X, where Y, denotes the predicted value of the grades obtained in the final exam by the " individual and X, denotes the grades obtained in the midterm exam. From the sample data he makes the following calculations: 60 3230 48, j= 1 60 3D1 ^2 where u, is the square of the residual for the " observation. He wants to test whether the grades obtained in the midterm exam have any effect on the grades obtained in the final exam or not. Which of the following are the null and the alternative hypotheses of the test the professor wishes to conduct? OA. Ho B1=0 vs. H B1 #0. Ho: B1=0 vs. H B, #0. O B. Ho B=D0.85 vs. H, B,#0.85. C. Ho BA #0 vs. HA B.=0. Click to select your answer(s). DAL Type here to search II

Given the following grades on s test: 86, 92, 100, 93, 89, 95, 79, 98, 68, 62, 71, 75, 88, 86, 93, 81, 100, 86, 96, 52; What is the percentage of scores lying within one standard deviation from the mean? Two standard deviations from the mean? Are these results consistent with what

From the sampling information provided below, determine the projected error for each scenario independently and conclude on the impact to materiality if performance materiality is set at $6,500. (Round answers to O decimal places, eg. 5,275. Enter negative amounts using either a negative sign preceding the number eg.-45 or parentheses e.g. (45).) Scenario 1 2 3 Error $(3,244) $4,500 $2,721 Sample $43.100 $11,000 $20,568 Population $64,960 $19,000 $52,456 $ $ $ Projected Error Impact

You have two instruments and have measured the unknowns on the two instruments. You find: Unknows to compare between instruments Concentrations from Instrument 1 Concentrations from Instrument 2 Unknown 1 15.1 16.5 Unknown 2 25.3 22.1 Unknown 3 30.2 24.7 What is the t-calc value for the comparison between these two instruments?

Read the z statistic from the normal distribution table and choose the correct answer. For a one-tailed test (lower tail) using a = .0901, z = O -1,96 O -1.86 O -1,34 O -1.645 O o o o

In a simple linear regression based on 20 observations, it is found b1 = 3.05 and se(b1) = 1.30. Consider the hypothesis : H0 : β1 = 0 and HA : β1 ≠ 0 . Calculate the value of the test statistic.

Whats R

You are testing the null hypothesis that there is no relationship between two variables. X and Y. From your sample of n = 20, you determine that SSR-80 and SSE 20. Complete parts (a) through (e) below. a. What is the value of FSTAT? State the hypotheses to test. Choose the correct answer below. OA Ho B₁50 H₁: B₁>0 OC. Ho B₁0 FSTAT H₁: B₁ =0 =72 (Round to the nearest integer as needed.) b. At the a=0.05 level of significance, what is the critical value? The critical value is 4.41 (Round to two decimal places as needed.) c. Based on your answers to (a) and (b), what statistical decision should you make? OA. Reject Ho. There is no evidence that there is a relationship between X and Y. OB. Do not reject Ho. There is no evidence that there is a relationship between X and Y. OC. Do not reject Ho. There is evidence that there is a relationship between X and Y. D. Reject Ho. There is evidence that there is a relationship between X and Y. d. Compute the correlation coefficient by first…

Please correct answer and don't use hand rating

help  please answer in text form with proper workings and explanation for each and every part and steps with concept and introduction no AI no copy paste remember answer must be in proper format with all working!

SHOW YOUR WORK IN THE SPACES PROVIDED BELOW FOR FULL CREDIT. Properties of Normal Distribution: (3p) Write the word or phrase that best completes each statement or answers the question.  a. What is the total area under the normal curve?    b. The normal distribution is defined by two parameters. What are they?   c. What are the mean and standard deviation of the standard normal distribution?

Consider the following data for a dependent variable y and two independent variables, x1 and 12. 30 12 94 47 10 109 25 18 112 51 16 178 40 94 51 19 175 75 171 36 12 118 59 13 143 77 17 212 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating Y to ¤1. Predict y if æ1 = 35. b. Develop an estimated regression equation relating y to x2. ŷ = + Predict y if x2 = 25. ŷ = c. Develop an estimated regression equation relating y to ¤1 and 2. Predict y if x1 = 35 and x2 = 25. ŷ =

You are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of n = 20, you determine that SSR = 80 and SSE 20. Complete parts (a) through (e) below. a. What is the value of FSTAT? State the hypotheses to test. Choose the correct answer below. OA H B₁50 H₁ B₁0 OC. Ho B₁ #0 H₁ = B₁ = 0 = 72 (Round to the nearest integer as needed) FSTAT = b. At the a=0.05 level of significance, what is the critical value? The critical value is 4.41 (Round to two decimal places as needed.) c. Based on your answers to (3) and (b), what statistical decision should you make? A. Reject H. There is no evidence that there is a relationship between X and Y. OB. Do not reject H. There is no evidence that there is a relationship between X and Y. OC. Do not reject H,. There is evidence that there is a relationship between X and Y D. Reject H. There is evidence that there is a relationship between X and Y. d. Compute the correlation coefficient by first…

The following is a set of data from a sample of n= 11 items. Complete parts (a) through (c). 14 13 4 15 3 16 12 10 19 1 Y 28 26 8 30 6 32 24 20 38 2 a. Compute the covariance. |(Round to three decimal places as needed.) b. Compute the coefficient of correlation. (Do not round until the final answer. Then round to three decimal places as needed.) c. How strong is the relationship between X and Y? Explain. O A. X and Y have a perfect negative correlation because all points fall on a straight line with a negative slope. B. X and Y have a strong positive correlation because as X increases, Y tends to increase also. C. X and Y have a perfect positive correlation because all points fall on a straight line with a positive slope. D. X and Y have no correlation. 124

Class A had a mean score of 7.3 and a standard deviation of 0.5Class B had a mean score of 8.4 and a standard deviation of 0.2Which class scored better on average? Select an answer Class A Class B

An F test Extrapolation is used to test the hypothesis that the values of the regression parameters Bo, B₁, B2, ... Bq are all zero. The least squares method A t test