Answer:
is it your homework?
Step-by-step explanation:
P(person has less than a high school education) = 0.12. This is directly from the table.
P(person has at least a bachelors degree: Hard to say for certain, because some of the data in your illustration was cut off.
Answer:
.05/.03
Step-by-step explanation:
a ratio of the prices
Answer:
Solution-
We know that,
Residual value = Given value - Predicted value
The table for residual values is shown below,
Plotting a graph, by taking the residual values on ordinate and values of given x on abscissa, a random pattern is obtained where the points are evenly distributed about x-axis.
We know that,
If the points in a residual plot are randomly dispersed around the horizontal or x-axis, a linear regression model is appropriate for the data. Otherwise, a non-linear model is more appropriate.
As, in this case the points are distributed randomly around x-axis, so the residual plot show that the line of regression is best fit for the data set.
Hope this helps!
Step-by-step explanation:
