#7 / 16 A scientist has read that the mean birth weight, , of babies born at full term is pounds. The scientist, believing that is different from this value, plans to perform a statistical test. She selects a random sample of birth weights of babies born at full term and finds the mean of the sample to be and the standard deviation to be pounds. Based on this information, answer the questions below. Option 1: pounds Question #13 / 16 Below are four bivariate data sets and the scatter plot for each. (Note that each scatter plot is displayed on the same scale.) Each data set is made up of sample values drawn from a population. 1. Choose one Options: Question #14 / 16 Managers of an outdoor coffee stand in Coast City are examining the relationship between (hot) coffee sales and daily temperature, hoping to be able to predict a day's total coffee sales from the maximum temperature that day. The bivariate data values for the coffee sales (denoted by , in dollars) and the maximum temperature (denoted by , in degrees Fahrenheit) for each of fifteen randomly selected days during the past year are given below. These data are plotted in the scatter plot in Figure 1. 1. Option one: Greater than or less than All questions are same as previous. But the numbers are different. Question #13 / 16 Below are four bivariate data sets and the scatter plot for each. (Note that each scatter plot is displayed on the same scale.) Each data set is made up of sample values drawn from a population. Question #14 / 16 A popular, nationwide standardized test taken by highschool juniors and seniors may or may not measure academic potential, but we can nonetheless attempt to predict performance in college from performance on this test. We have chosen a random sample of fifteen students just finishing their first year of college, and for each student we've recorded her score on this standardized test (from to ) and her grade point average (from to ) for her first year in college. The data are shown below, with denoting the score on the standardized test and denoting the firstyear college grade point average. The leastsquares regression line for these data is . This line is shown in the scatter plot in Figure 1. All questions are same as previous. But the numbers are different. Question #13 / 16 Below are four bivariate data sets and the scatter plot for each. (Note that each scatter plot is displayed on the same scale.) Each data set is made up of sample values drawn from a population. Question #14 / 16 A popular, nationwide standardized test taken by highschool juniors and seniors may or may not measure academic potential, but we can nonetheless attempt to predict performance in college from performance on this test. We have chosen a random sample of fifteen students just finishing their first year of college, and for each student we've recorded her score on this standardized test (from to ) and her grade point average (from to ) for her first year in college. The data are shown below, with denoting the score on the standardized test and denoting the firstyear college grade point average. The leastsquares regression line for these data is . This line is shown in the scatter plot in Figure 1