For 10 observations on price (x) and supply(y), the following data was obtained `sum x=130` `sum y=220` `sum x^2 =2288` `sum y^2=5506` and `sum xy=3467` what is the line of regression of y on x

In a blvariate data sum x=30, sumy=400, sumx^(2)=196, sumxy=850 and n=10 . Find the regression coefficient of y on x.

In a blvariate data sum x=30, sumy=400, sumx^(2)=196, sumxy=850 and n=10 . Find the regression coefficient of y on x.

For a bivariate date, you are given following information: sum x = 125 , sum x^(2) = 1650 , sum y = 100 , sum y^(2) = 1500 , sum xy= 50 , n= 25 Find line of regression.

x and y are a pair of correlated variables . Ten observations of their values (x_(p)y_(t)) have the following result : sum x = 55, sum y = 55, sum x^(2) = 385, sum xy = 350 . Predict the value of y when the value of x is 6

Calculate Kari Pearson's coefficient of correlation between the values of x and y for the following data : n = 10, sum x = 55, sum y = 40, sum x^(2) = 385, sum y^(2) = 192 and sum (x + y)^(2) = 947