Question

The following bivariate data set contains an outlier. х 33.1 48.1 0.8 17.5 36.3 46.7 11.2 13.4 27.4 37.3 15.7 31.5 6.1 36.3 190 у 138.2 477.3 -211 - 189.8 250.2 -237.7 - 144.5 395.4 - 168.2 -276 -75.4 244.5 -95.6 -249 2737.2 What is the correlation coefficient with the outlier? Tw= What is the correlation coefficient without the outlier? Would inclusion of the outlier change the evidence for or against a significant linear correlation? Yes. Including the outlier changes the evidence regarding a linear correlation. O No. Including the outlier does not change the evidence regarding a linear correlation. Question for thought: Would you always draw the same conclusion with the addition of an outlier? Check Answer search o a hp

Answer 1

First i have draw the plot of x,y with outlier

O 2000 1000 o 0 50 100 150 X

The outlier is (190,2737.2)

plot( x,y ) without outlier

Correlation Coefficient with, outier nEXY- IX EXEY Vnext (ext trzy?-toys 15* 527764 551.44 2595-6 19440355138 -(551-434 41568357119-625950 0.917 The outlier is X = 197 & Y= 2737.2 The correlation coefficient without outier - 14*-770699) 3614 *(-630.6) 1164128gs. 38-1361.412 4144894855: 3-1-630-6) 2 r=0.173 yes including outier changer the evidence regarding linear Comelohon REDMI NOTE 8 PRO AI QUAD CAMERA