Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 10m
- 9. Hypothesis Testing for One Sample5h 6m
- Steps in Hypothesis Testing1h 6m
- Performing Hypothesis Tests: Means1h 4m
- Hypothesis Testing: Means - Excel42m
- Performing Hypothesis Tests: Proportions37m
- Hypothesis Testing: Proportions - Excel27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions28m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors15m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression3h 33m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - Excel8m
- Finding Residuals and Creating Residual Plots - Excel11m
- Inferences for Slope31m
- Enabling Data Analysis Toolpak1m
- Regression Readout of the Data Analysis Toolpak - Excel21m
- Prediction Intervals13m
- Prediction Intervals - Excel19m
- Multiple Regression - Excel29m
- Quadratic Regression15m
- Quadratic Regression - Excel10m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
12. Regression
Regression Readout of the Data Analysis Toolpak - Excel
12. Regression
Regression Readout of the Data Analysis Toolpak - Excel: Videos & Practice Problems
Downloads & Resources
1
concept
Regression Readout of the Data Analysis Toolpak - Excel
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2
Problem
The creators of a program that promises to improve typing speed collect data on the time spent on the program (in hrs) and typing speed (in wpm) of a random sample of 25 users to see if there is linear correlation between the two variables. Use the Data Analysis Toolpak to answer the questions below.

Get the regression readout and create a residual plot with the data. Is correlation positive or negative?
A
Positive
B
Negative
3
Problem
The creators of a program that promises to improve typing speed collect data on the time spent on the program (in hrs) and typing speed (in wpm) of a random sample of 25 users to see if there is linear correlation between the two variables. Use the Data Analysis Toolpak to answer the questions below.

Find .
A
0.857
B
-0.857
C
0.735
D
-0.735
4
Problem
The creators of a program that promises to improve typing speed collect data on the time spent on the program (in hrs) and typing speed (in wpm) of a random sample of 25 users to see if there is linear correlation between the two variables. Use the Data Analysis Toolpak to answer the questions below.

Find .
A
0.857
B
0.735
C
0.926
D
0.850
5
Problem
The creators of a program that promises to improve typing speed collect data on the time spent on the program (in hrs) and typing speed (in wpm) of a random sample of 25 users to see if there is linear correlation between the two variables. Use the Data Analysis Toolpak to answer the questions below.

Find .
A
5.61
B
2.37
C
37.67
D
6.14
6
Problem
The creators of a program that promises to improve typing speed collect data on the time spent on the program (in hrs) and typing speed (in wpm) of a random sample of 25 users to see if there is linear correlation between the two variables. Use the Data Analysis Toolpak to answer the questions below.

Find the equation for the regression line.
A
B
C
D
7
Problem
The creators of a program that promises to improve typing speed collect data on the time spent on the program (in hrs) and typing speed (in wpm) of a random sample of 25 users to see if there is linear correlation between the two variables. Use the Data Analysis Toolpak to answer the questions below.

Create a 99% CI for the -intercept of the regression line.
A
(36.9, 46.7)
B
(1.15, 2.39)
C
(35.17, 48.47)
D
(1.31, 2.23)
8
Problem
The creators of a program that promises to improve typing speed collect data on the time spent on the program (in hrs) and typing speed (in wpm) of a random sample of 25 users to see if there is linear correlation between the two variables. Use the Data Analysis Toolpak to answer the questions below.

If you performed a 2-tailed hypothesis test for , the slope of the pop. regression line, what would the test statistic be? What would the -value be? Can we conclude that the two variables are linearly correlated?
A
t: 17.7
P-val: 17.7 × 10-15
Yes
B
: 17.7
P-val: 17.7 × 10-15
Yes
C
t: 7.98
-val: 4.43 × 10-8
No
D
t: 7.98
P-val: 4.43 × 10-8
Yes