Math153-DB1, DDH Name(s):
_________________________________________
10/05 _______________________________________________
_______________________________________________
Project Extra Credit 1: (10
points) This project will count
towards your project grade.
Due: on or before Friday, October 21, 2005.
READ
EACH SECTION FIRST BEFORE USING MINTAB14.
1) Open Minitab14.
Enter the data for an evening
class – TV hours and Study Hours. (Questions How many hours per week do you
plan to watch TV during this semester?
How many hours per week do you plan to study for this course this
semester?)
Enter the data
below. There are 15 cases.
|
TV |
Study |
|
3 |
2 |
|
6 |
4 |
|
10 |
5.5 |
|
15 |
9 |
|
2 |
14 |
|
3 |
6 |
|
2 |
8 |
|
0 |
5 |
|
7 |
5 |
|
2 |
4 |
|
20 |
25 |
|
5 |
7 |
|
14 |
10 |
|
1.5 |
2.5 |
|
10 |
4 |
2) Find the equation of the regression line. We would like to know if the hours per week
spent watching TV influences the hours per week planned studying for the
course.
IMPORTANT: Use Study as the response variable or y variable; use TV as the predictor variable or x variable.
DO
NOT ROUND OFF.
Equation
of Regression Line:
____________________________________________________________
3) Draw a scatterplot.
4) Type your name in the Session Window and print the Worksheet
(the data), the Session Window (the regression analysis), and the Scatterplot.
5) Can we generalize this interpretation to the population
of evening Math153 students taught by the instructor? _
The
p-value =
_______________ Explain briefly. (Explain the nature of the association.)
6) There will be one influential observation. Circle and label observation on your
scatterplot.
Influential:
Observation #(s): __________________
Why
is this observation considered influential?
7) Delete this observation from the data and
rename your dataset.
Find
the scatterplot and the equation of the regression line without this
influential observation.
New
regression line equation: _________________________________________________
New p-value: ______________
8) Do you think there is an association between
TV hours and planned hours of study for the course? ______________ Why or why not?