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QUESTION 1 What is the probability of rolling a 9 (that is, a sum of 9) with a pair of dice? (Please keep two decimals)
QUESTION 1 What is the probability of rolling a 9 (that is, a sum of 9) with a pair of dice? (Please keep two decimals) QUESTION 2 Which of the following involves the use a discrete metric? (There is more than one right answer. Choose ALL the right answers. Choosing wrong answers will carry negative points) O Performance of students entering a college Amount of ink spent on a page Bags allowed per passenger Number of flights scheduled per day O Length of shows for different films Number of check-out counters in a grocery store QUESTION 3 Identify the FALSE statement regarding regression It can be used to describe the relationship between variables. Click Save and Submit to save and submit. Click Save All Answers to save all answers. MacBook ProQUESTION 3 Identify the FALSE statement regarding regression It can be used to describe the relationship between variables. The intercept is the expected value of y when all the x values are zero. Has one or more dependent variables in the equation It can be used to predict the value of y given a value for each of the x-variables. QUESTION 4 Find the mean of the following data (keep two decimal points) 57 72 33 11 77 55 10 32 1) select the link below that opens a pre-populated spreadsheet, You can add rows, columns or even create a new sheet. Empty Excel.xisx 2) create the required formula or calculation, 3) If the numbers are not clearly visible, try expanding the column to view the numbers. QUESTION 5 Click Save and Submit to save and submit. Click Save All Answers to save all answers.QUESTION 5 The correlation coefficient ranges between Can take any integer value (no decimal points) 0 to 100 (percentage score) 0 and 1 O -1 and 1 QUESTION 6 One of the following is NOT a measure of dispersion. Range Median or midpoint O Inter quartile range O Variance QUESTION 7 A dummy variable is used When we want to throw a variable out but still want to keep the number of variables the same As a pacifier when we deal with a cranky dataset When the model has very low predictive power. When the sample size is too small O When we are dealing with a categorical variable All Answers to save all answers
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