1. Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Spring 2019 Room 150 Harvill Building 9:00 - 9:50 Mondays, Wednesdays & Fridays.
April 12

2. The
Green
Sheets

3. Schedule of readings Before our fourth and final exam (April 29th)
OpenStax
Chapters 1 – 13 (Chapter 12 is emphasized)
Plous
Chapter 17: Social Influences
Chapter 18: Group Judgments and Decisions

4. Labs continue next week
Lab sessions
Labs continue next week

5. Project 4 - Two Correlations - Two Regression Analyses
This lab builds on the work we did in our very first lab. But now we are using the correlation for prediction. This is called regression analysis
Project 4 - Two Correlations - Two Regression Analyses

7. We refer to the predicted variable as the dependent variable (Y) and the
predictor variable (X) as the independent variable
Why are we finding the regression line? How would we use it?
Writing Assignment

8. regression coefficient
We refer to the predicted variable as the dependent variable (Y) and the
predictor variable (X) as the independent variable
Why are we finding the regression line? How would we use it?
regression coefficient
(slope)
correlation
coefficient
(“r”)

9. What variable are we predicting?
a. Height of Boys in 1990 (cm) b. Age of boys in 1990
c. Both height and age of boys in 1990

10. Just for fun let’s do the math
If a boy is 8-years old how tall would we predict he would be? Complete prediction “by eye” looking at graph?
a. 40 cm b. 80 cm
c. 120 cm
d. 160 cm
Just for fun let’s do the math
Y’ = (8) = 122

11. Just for fun let’s do the math
If a boy is 2-years old how tall would we predict he would be? Complete prediction “by eye” looking at graph?
a. 40 cm b. 80 cm
c. 120 cm
d. 160 cm
Just for fun let’s do the math
Y’ = (2) = 78.8

12. What variable are we predicting?
a. Size of state (square miles) b. Number of letters in name of state
c. Both size of state and number of letters

13. Just for fun let’s do the math
If a state has 7 letters in the name (like Arizona) how large would we predict the state to be? Complete prediction “by eye” looking at graph?
a. 20,000 square miles b. 30,000 square miles
c. 40,000 square miles
d. 50,000 square miles
Just for fun let’s do the math
Y’ = -2,561.5 (7) + 67,884 = 49,953

14. What variable are we predicting?
a. Size of TV (inches) b. Sales price of TV ($)
c. Both sales price and size of TV

15. Just for fun let’s do the math
If a TV is 55 inches what would we predict cost to? Complete prediction “by eye” looking at graph?
a. $1,500 b. $1,725
c. $2,000
d. $2,225
Just for fun let’s do the math
Y’ = (55) – = $2,235

16. Just for fun let’s do the math
If a TV is 40 inches what would we predict cost to? Complete prediction “by eye” looking at graph?
a. $1,500 b. $1,725
c. $2,000
d. $2,225
Just for fun let’s do the math
Y’ = (40) – = $1,439

17. What variable are we predicting?
a. Amount of Wine Consumed
b. Death Rate in the Country
c. Both Amount of Wine Consumed and Death Rate

18. Just for fun let’s do the math
If a country consumes an average of 8 liters (per capita) what would we predict death rate from heart disease be? Complete prediction “by eye” looking at graph?
a. 50
b. 75
c. 100
d. 125
Just for fun let’s do the math
Y’ = (8) = 75.6

19. Thank you!
See you next time!!