Question 3 (1 point) You find that two variables have a correlation coefficient (r) of 0.85. This tells you that the relationship between these variables is Positive, and the points are closely clustered around the line O Positive, and the line has a slope of 0.85 85% likely to be linear O Positive, and the points are clustered loosely around the line Question 4 (1 point) The data in this scatterplot has what kind of correlation? N 6 . 5 3 N - X 1 2 3 4 5 6 7 8 9 None OWeak positive Strong positive Weak negative Strong negativeQuestion 5 (1 point) The data in this scatterplot has what kind of correlation? 7 6 - 5- . . 3 2 0 X H 2 3 4 5 6 8 9 ONone O Weak positive Strong positive Weak negative StrQuestion 6 {1 point} The data in this scatterplot has what kind of correlation? DHHW-I-Ll 0 None 0 Weak positive 0 Strong positive 0 Weak negative 0 Strong negative Regression Question If {1 point} Due to erosion, a river shoreline is losing several thousand pounds of soil each vear. Researchers used linear regression to find a linear equation that expresses the total amount of soil lost per year. Their model is: 0 = 12,000: What is the v-interceot? Question {1 point} Virologists collected data on the number of flu cases {3:} and flu deaths iv} reported from 1931 to zoos. The'glr found an r=.9?4 between these two variables. According to the rule of thumb for correlation coefficients. how strong is this correlation? O No correlation Question 9 {1 point} Virologists collected data on the number of flu cases {3:} and flu deaths iv} reported from 1931 to 212102. Thev found an r=.9?4 between these two variables. Tl'le'glr computed the following descriptive statistics: E = 35, 455 S; = 25,102 p = 22, 2311 3y 2 15, 543 What is the slope of the linear equation between these variables? 0 5.55? 0 some. Question 10 (1 point) Virologists collected data on the number of flu cases (x) and flu deaths (y) reported from 1981 to 2002. They found an r=0.974 between these two variables. They computed the following descriptive statistics: c = 36, 455 ST = 25, 102 y = 22, 230 Sy = 15, 643 What is the y-intercept of the linear equation between these variables? 1.564 1688.044 102.733 60.736 Question 11 (1 point) Researchers gathered data on the yearly tuition of top institutions and the expected mid-career salary of their graduates. They found an r=-0.12 between these two variables. According to the rule of thumb for correlation coefficients, how strong is this correlation? No correlation Small O Medium LargeQuestion 12 (1 point) Researchers gathered data on the yearly tuition of top institutions (x) and the expected mid-career salary of their graduates (y). They found an r = -0.12 between these two variables. They computed the following descriptive statistics: r = 120, 000 ST = 6, 450 y = 33, 000 Sy = 19, 000 What is the slope of the linear equation between these variables? O2.95 O-0.35 O-0.04 O0.34