Open Chapter 16 Data Set 2. These data are for a group of participants who took

Question

Open Chapter 16 Data Set 2. These data are for a group of participants who took a quiz. For each person, TIME is the number of minutes spent on the quiz and 'CORRECT' is the number of problems marked correct out of a total of 12 problems. Suppose we want to predict the value of CORRECT based on the value of TIME. (a) What is the response variable (dependent variable (dependent variable, outcome variable)? TIME CORRECT (b) What is the predictor variable (independent variable, factor) TIME CORRECT (c) Use SPPS to do a linear regression analysis. Did you get this output? Let Dr Henson know if you can't get it to look like this No Yes (d) From this output box, you should be able to find the linear regression equation. It is (e) If a student spends 2 minutes on the quiz, how many questions is he predicted to get correct? (f) What predicted change in the number marked correct is associated with a 1 minute increase in the number of minutes spent? Give your answer as a positive or negative number with three decimals. Positive indicates an increase in CORRECT; negative indicates a decrease in CORRECT.

Explanation / Answer

Solving part e and f

Correct =7.414-0.144*time

When time =2, correct =7.414-0.144*2 = 7.126 =7.1

Part f,

We see that the coefficient for time is - 0.144, thus one minute increase in time decreases correct questions by 0.144

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