The goal of regression is to explain the variation in the
dependent variable using the independent variable. For this, as
much of variation that can be explained must be covered under the
explained variation.
The unexplained variation is the residuals. Hence we need to check
that there is no underlying pattern in the residuals indicating
that there could be more variables that could explain the variation
in the dependent variables.
Hence we check for any pattern in the residuals and also check that the residuals are normally distributed so that they sum up to zero.
The histogram helps us to understand that the residuals are normally distributed as per the assumptions of linear regression.
Correct option: A. nearly normal condition is satisfied.
A regression equation was fit to the data showing the number of hours of training time...
Data for 34 cereals were examined to look for an association between fiber content and calories. A regression analysis was performed, in which the dependent variable was fiber and the independent variable was calories. Given below are graphs from the regression output. Which of the assumptions for inference are violated? Explain Click the icon to view the graphs from the regression output. Regression output graphs Is the straight enough condition satisfied? Yes 0 12 Is the independence assumption satisfied? Yes...
Scatterplot of PracticeTime vs Age 35 30 Practice Time 25 20 15 5.0 7.5 10.0 12.5 15.0 Age Fitted Line Plot Practice Time = 2.236 + 2.053 Age 35 s R-Sa R-Sqladi) 1.04243 96.7% 96.5% 30 Practice Time 25 20 15 5.0 7.5 10.0 12.5 15.0 Age For children taking piano lessons, we are interested in seeing if there is a relationship between the age of a child (in years) and the amount of time (in minutes) they practice the...
Use the following regression output from R studio and answer the
following questions.
1. Comment on the relation between the two test marks.
A. There appears to be no linear relation between the
two test marks
B. There appears to be strong negative linear relation between the
two test marks.
C. There appears to be weak positive linear relation between the
two test marks.
D. There appears to be strong positive linear relation
between the two test marks.
2. If the linear...
Student stress at final exam time comes partly from the
uncertainty of grades and the consequences of those grades. Can
knowledge of a midterm grade be used to predict a final exam grade?
A random sample of 200 BCOM students from recent years was taken
and their percentage grades on assignments, midterm exam, and final
exam were recorded. Let’s examine the ability of midterm and
assignment grades to predict final exam grades.
The data are shown here:
Assignment
Midterm
FinalExam...