Question 1 0/5 pts 2 Details Based on the data shown below, calculate the correlation coefficient (to three decimal places) x y 4 12.26 5 15.6 6 16.64 7 13.98 8 17.92 9 20.26 10 20.2 11 20.74 12 23.48 13 24.82 14 25.26 15 25.6 16 26.04 17 27.68 18 29.62 19 29.76 Calculator Check Answer Question 2 Here is a scatter plot for a set of bivariate data. What would you estimate the correlation coefficient to be? -0.9 -0.60 0.6 0.9 Question Help: Video Calculator Check Answer 0/1 pt 2 Details Question 3 0/2 pts 2 Details Here are the scatter plots for two sets of bivariate data with the same response variable. The first compares the variables x &y. The second compares the variables w & y Which explanatory variable has a stronger relationship with the response variable y? The first variable (x) has a stronger relationship with the response variable y. The second variable (w) has a stronger relationship with the response variable y. Question Help: Video Calculator Check Answer Question 4 The following bivariate data set contains an outlier. x y 44.8 111.6 83.7 -1452.5 71.2 -640.9 69.4 -2391 97.5 229.3 105.8 -828.5 64.9 517.9 72.1 293.7 72.3 -1566.7 52.5 -230.3 52.5 -56.5 42.9 -282.8 98.5 -909.6 61.3 222.4 294.5 9244.6 0/6 pts 2 Details What is the correlation coefficient with the outlier? rw= What is the correlation coefficient without the outlier? Two Would inclusion of the outlier change the evidence for or against a significant linear correlation? No. Including the outlier does not change the evidence regarding a linear correlation. Yes. Including the outlier changes the evidence regarding a linear correlation. Question for thought: Would you always draw the same conclusion with the addition of an outlier? Calculator Check Answer