STA108 WEEK 7

LEARNING OBJECTIVE 1:

Scatter Plot 

Students need to know how to draw scatter plot and interpret correlation based on scatter plot.

👉🏼 Refer Pg. 81 - 84

👉🏼 Watch Video V1W7 above

👉🏼 Redo Example 1(a, b, c) Pg. 85

👉🏼 Do Example 2(a, b) Pg. 86

Dependent Variable (Y) = Food Expenditure

Independent Variable (X) = Annual Income

👉🏼 Do Example 3(a, b) Pg. 87 

Dependent Variable (Y) = Score

Independent Variable (X) = Tuition hours

LEARNING OBJECTIVE 2:

Pearson Coefficient of Correlation

Students need to know how to compute and interpret Pearson coefficient of correlation, r.

👉🏼 Refer Pg. 83 (formula)

👉🏼 Watch Video V2W7 above

👉🏼 Redo Example 1(c) Pg. 85

👉🏼 Do Example 2(c) Pg. 86  

Answer: r = 0.9194 --There is a strong positive correlation between annual income and food expenditure.

👉🏼 Do Example 3(c) Pg. 87

Answer: r = 0.9652 --There is a strong positive correlation between score and tuition hours.

LEARNING OBJECTIVE 3:

Simple Linear Regression

Students need to know how to estimate and interpret the meaning of regression coefficients in order to construct regression equation, y = a + bx.

👉🏼 Watch Video V4W7 above

👉🏼 Refer Pg. 88 (formula)

👉🏼 Watch Video V4W7 above

👉🏼 Redo Example 4(c, d) Pg. 90