Me victor, vladimir , and vivian each has a different set of data points. each used the linear regression feature of his/her graphing calculator to find a linear function that models his/her data. the value of the correlation coefficient (r) associated with victors function was -0.91, the value or r for vladimir’s function was 0.73, the value of r for venus was -0.44, and the value of r for vivian’s function was 0.88. who has the best model for his or her data. a) venus b) victor c) vivian d) vladimir

B) Victor

Step-by-step explanation:

A positive value for r implies a positive linear correlation, while a negative value for r implies a negative linear correlation. The

closer |r| is to 1, the stronger the correlation, and the stronger the correlation, the more reasonable the data model. Since |–0.91| =

0.91, |0.73| = 0.73, |–0.44| = 0.44, and |0.88| = 0.88, the person with the most reasonable model for his or her data is B) Victor!

Hope this helps, have a good day. c;

the data of the detroit pistons in numerical order from least to greatest is 0.30, 0.37, 0.55, 0.62, 0.69, 0.72, 0.73, 0.75, 0.77, 0.78, 0.80, 0.81, 0.81, 0.83, 0.84, 0.89

the data of the miami heat in numerical order from least to greatest is 0.50, 0.50, 0.56, 0.57, 0.67, 0.72, 0.72, 0.72, 0.75, 0.75, 0.76, 0.81, 0.82, 0.90, 1.00, 1.00

the detroit pistons median : 1.52

the miami heat median: 1.47

the iqr of this data is 0.05