Data Mining and Machine Learning

Question 1 Not yet answered Marked out of 1.00 Flag question Question text Which of the following statements will generate a multiple linear regression model within R where the output or predicted variables is Sales and the prediction variables include temperature and unemploymentrate? Select one: a. lm(sales~temperature+unemploymentrate) b. lm(temperature+unemploymentrate=sales) c. lm(sales+temperature~unemploymentrate) d. None of these commands are valid Question 2 Not yet answered Marked out of 1.00 Flag question Question text Assume that you had a variety of data including medical history, diet, heredity factors on individuals who developed cancer and you wanted to use this data to determine whether a person is likely to develop cancer. Which technique would be the most promising to start with? Select one: a. Classification b. Regression c. Clustering d. Estimation Question 3 Not yet answered Marked out of 1.00 Flag question Question text True/False: Supervised learning features both input variables or attributes and an output or predicted variable. Select one: True False Question 4 Not yet answered Marked out of 1.00 Flag question Question text True/False: According to our textbook, residual plots are a useful tool for identifying clusters. Select one: True False