Exam 4 Study Guide: Chapters 18-20
- Four scatter plots are shown. Match the scatter plot with the value of
the correlation coefficient. Look at homework 24.
- Identify the type of linear correlation based on the value of r and the
p-value. Three parts. Look at homework 24.
- Rank the multiple regression models from best to worst based on the
appropriate values. The R2, adjusted-R2, and number of
predictor variables is given.
- Correlation and regression - the regression equation is given.
- Complete the table of coefficients
- Give a conclusion about the y-intercept or slope
- Use the regression equation to estimate a value of the response
variable.
- The Sum of Squares are given, complete the ANOVA table.
- Find the value of the coefficient of determination, r2
- Correlation and regression - the summary statistics, correlation
coefficient and p-value are given. Look at homework 25.
- Give a conclusion
- Write the coordinates of the centroid
- Find the slope of the regression equation
- Write the equation of the regression line
- Use the equation to estimate a value of the dependent variable.
- Complete the ANOVA table. This table is
completely blank to begin with. Look at homework 26.
- Multiple Regression - the table of coefficients is given.
Look at homework 27.
- Give a conclusion based on the table of coefficient p-values.
- Decide which one variable you would keep or eliminate from the
model.
- The Sum of Squares and one of the df is given, complete the ANOVA
table.
- Write the null and/or alternative hypothesis for the ANOVA table.
- Find the value of R2 and/or adjusted-R2 from the
ANOVA table.
- Find the variance of the response variable.
- Chi-squared goodness of fit test - the observed frequencies and claimed
proportions are given.
Look at homework 21.
- Find the expected frequencies.
- Give the number of degrees of freedom.
- Know the null and alternative hypotheses.
- The test statistic and/or p-value are given; determine if the test
statistic lies in the critical region.
- Give the decision and conclusion.
- Complete the ANOVA table. This is a "difficult" level ANOVA
table from the ANOVA generator
that we looked at in class.
- Test for independence / contingency table - the observed frequencies are
given.
- Know the null and alternative hypotheses.
- Find the expected frequency for one of the cells in the table
- Determine the degrees of freedom
- The test statistic and/or p-value are given; give the decision and
conclusion.
- One way analysis of variance - summary information is given. Look at homework 22.
- Write the null and alternative hypothesis.
- Complete the ANOVA table
- Give a conclusion
- Find the pooled estimate of the variance
- Find the variance of the response variable
- Two-way analysis of variance. Look at homework 23.
- Complete the two-way ANOVA table
- Know the three null and alternative hypotheses being tested with the
table
- Give conclusions based on results from the table
Notes
- You will definitely want a calculator.
- You will not need Minitab. The computers will be off during the
exam.
- You may create a sheet of notes to use for this test. Details about what
can be on the notesheet follow.
Notesheet
You may use a sheet of notes on this exam. Here are the guidelines for
the notesheet.
- You may use one side of an 8.5" x 11" piece of paper. You may
use a smaller sized paper if you desire. You may not write on the back of
the paper.
- The notesheet must be handwritten and an original (not duplicate)
document.
- You may not photocopy, scan, fax, or otherwise duplicate someone else's
notesheet. It is okay if you want to get together, study, and create a
notesheet, but each person's notesheet must be an original, handwritten
document.
- If I can not tell that your notesheet is an original document, I will
not allow it. Consider using pencil or colored pens for portions of the
notesheet.
- The notesheet must have your name on it. I will collect the notesheets
with the exams. You will get them back with the graded test.
- The notesheet may not have examples on it.
- The notesheet may have notes, explanations, ANOVA tables with an
explanation of how to find specific entries, but it may not contain examples
with specific numeric values. For example, "the total df is one less
than the sample size" or "df(total) = n-1" is okay, but
"if n = 20, then total df = 20 - 1 = 19" is not. You may have
"SS / df = MS," but not "SS(Regression) = 351, df(Regression)
= 3, MS(Regession) = 351 / 3 = 117"
Points per problem
# |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
Total |
Pts |
4 |
3 |
3 |
14 |
11 |
13 |
9 |
5 |
10 |
12 |
16 |
100 |