Exam 16: Introduction to Data Mining

The regression equation to predict the job performance of new hires based on age, GPA and gender (female = 1 and male = 0) is Job Performance = -60.8 + 4.80.Age + 1.44 GPA + 9.06 Gender. Which of the following is the correct Interpretation for the regression coefficient of Gender?

Based on the regression output shown below, which of the following statements is true? The regression equation is Price (cents) = 128 + 1.08 Time Predictor Coef SE Coef T P Constant 128.112 2.092 61.25 0.000 Time 1.0782 0.1407 7.66 0.000 S = 5.07299 R-Sq = 71.9% Durbin-Watson statistic = 0.244822

In a data warehouse, which of the following variable(s) is/are transactional?

Data were collected for a sample of 12 pharmacists to determine if years of experience and salary are related. A regression was run with the dependent variable Salary (thousands of dollars) and independent variable Experience (years). Suppose The P-value associated with the calculated t-statistic is < .001. At the .05 level of Significance we

According to the partial regression analysis output below, what is the t-statistic to test whether the regression slope is significant? Regression Analysis: Tourism (\$bil1) versus visitors (mill) The regression equation is: Tourism $( \$ \mathrm { bill } ) = 21.5 + 0.295$ Visitors (mill) Predictor Coef SE Coef Constant 21.464 3.462 Visitors (mill) 0.29497 0.07917 S=2.58307 R-Sq=63.4\%

Suppose data mining is used to determine whether or not a customer would purchase a hybrid vehicle. In data mining this is referred to as what type of problem?

According to the results below, what is the correlation between stock price and EPS? The regression equation is: Stock Price $= - 0.49 + 14.8 \mathrm { EPS }$ Predictor Coef SE Coef T P Constant -0.486 4.032 -0.12 0.906 EPS 14.8129 0.9437 15.70 0.000 $\mathrm { S } = 7.63235 \mathrm { R } - \mathrm { Sq } = 95.0 \%$

A regression model: PE = 8.04 + 0.747 Growth Rate + 0.0516 Profit Margin + 2.09 Green was developed to predict a firm's Price-Earnings Ratio (PE) using Growth Rate, Profit Margin, and whether the firm is Green (1 = Yes, 0 = No). Which Of the following is the correct interpretation for the regression coefficient of Green?

Based on the output below from regression analysis performed to develop a model for predicting a firm's Price-Earnings Ratio (PE) based on Growth Rate, Profit Margin, And whether or not the firm is Green (1 = Yes, 0 = No), we can conclude (α = .05) That The regression equation is $\mathrm { PE } = 8.04 + 0.757$ Growth Rate $+ 0.0516$ Profit Margin $+ 2.09$ Green? Predictor Coef SE Coef T P Constant 8.043 1.570 5.12 0.000 Growth Rate 0.7569 0.1355 5.59 0.000 Profit Margin 0.05162 0.03239 1.59 0.139 Green? 2.0900 0.7945 2.63 0.023 =1.12583 -=87.8

Suppose data mining is used to determine how much a customer spends annually on energy efficient products. In data mining this is referred to as what type of problem?

A least squares estimated regression line has been fitted to a set of data and the resulting residual plot is shown. Which is true?

In a data warehouse, which of the following variables is/are demographic?

According to the residual plot for a linear regression model shown to the right, the linear model

From the plots of residuals shown below, which assumption appears to be violated?

Disparate databases that include demographic and transactional variables merged together are referred to as

Regression analysis was performed to develop a model for predicting a firm's Price- Earnings Ratio (PE) based on Growth Rate, Profit Margin, and whether or not the Firm is Green (1 = Yes, 0 = No). Based on the F-statistic of 26.48 which has a p-value Of 0.000, we can conclude at α = .05 that

Below is a list of a few variables for which data were collected from various telecommunication companies. On the line to the right of each variable, identify whether it is transactional (T) or a demographic (D). 1. Type of cell phone plan.____ 2. Number of residents in household._____ 3. Subscription to international channels.___ 4. Zip code.____ 5. Monthly electricity usage.____

Use the following information Suppose data mining is employed on supermarket chains and travel industry dataBwarehouse in order to answer the following questions. On the line to the right, indicate whether these involve a classification (C) or regression (R) problem. -How much a customer spends annually on international specialty food items? ____

Which statement about influential points is true?

Use the following information Suppose data mining is employed on telecommunication company data warehouse in order to answer the following questions. On the line to the right of each, indicate whether these involve a classification (C) or regression (R) problem. -How much does a customer spend on all household communication-related expenditures? ____