In: Statistics and Probability
for the quantitative variables
x
and
y
are given in the table below. These data are plotted in the scatter plot shown next to the table.
In the scatter plot, sketch an approximation of the least-squares regression line for the data.
x
y
7.4
6.6
4.0
5.0
2.0
3.9
3.1
5.0
9.4
8.4
4.7
5.9
6.6
6.2
8.5
6.9
7.9
7.3
1.6
3.7
4.4
4.6
2.8
3.9
2.7
3.1
5.7
6.3
5.9
7.3
9.7
8.3
6.9
6.3
8.8
8.4
x 1 2 3 4 5 6 7 8 9 10 11 y 1 2 3 4 5 6 7 8 9 10 11 |
(a) The step-by-step instructi ons to obtain Regression
output using Minitab 18:
* Store the variables (X) in the columns of
the Mnitab18 worksheet
* Choose Regression *Regression *Fittted Line Plot
* Select the variable (Y) in the Responses box and then select the
variable (X) in the Continuous Predictors box
* Cli Ck ok
The simple linear regressl on equation plotted on the scatter plot
using the technology:
The scatterplot enables that the measure of the linear relationship between the two quantitative variables x and y. The linear relationship between the two variables is positive, since the direction of fitted line is upwards. The value of the coefficient of determination is R2=24.9% indicates the percentage of variation in the dependent variable can be explained by the independent variable. The adjusted R2=20.2% is less than that of the R2 value observed in the fitted line plot.