Question

In: Statistics and Probability

Use the given data to find the equation of the regression line. Examine the scatterplot and...

Use the given data to find the equation of the regression line. Examine the scatterplot and identify a characteristic of the data that is ignored by the regression line. x 8 10 12 11 6 4 3 13 7 5 9 y 14.75 16.69 17.31 17.17 11.49 6.91 4.13 17.13 13.28 9.37 15.88 Modifying Above y with caret equals nothing plus nothing x

Solutions

Expert Solution

Solution:

Use R sftware

use plot function in R to find the scatterplot

R code is:

plot(y~x,main="scatterplot",pch = 15, col = "green")

From scatterplot we observe a strong positive relationship between x and y

correlation coeffcient=

Rcode:cor(x,y)

r=0.9427058

Create 2 vectors X and Y

use lm function in R to find regression line

Rcode:

x <- c(8 ,10 ,12, 11 ,6 ,4, 3, 13, 7, 5 ,9)
y <- c(14.75, 16.69 ,17.31, 17.17, 11.49, 6.91, 4.13, 17.13, 13.28 ,9.37, 15.88)
regresseq <- lm(y~x)
coefficients(regresseq)

Output:

(Intercept) x
2.700909 1.300000

Therefore

equation of regression line is

y=2.700909 +1.300000 *x

y intercept=2.700909

slope=1.300000


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