STA104 WEEK 7
28 NOVEMBER - 4 DECEMBER 2022
Embedded Files
Kuliah 1: 30 Mac - 24 May 2026
CHAPTER 3: CORRELATION & REGRESSION ANALYSIS
Topics:
Scatter Plot
Pearson Coefficient of Correlation
Simple Linear Regression
First Class:
LEARNING OBJECTIVE 1
Scatter Plot
Students need to know how to draw scatter plot and interpret correlation based on scatter plot.
👉🏼 Refer Pg. 73 - 75
👉🏼 Watch Video V1W7
👉🏼 Redo Example 1(a, b, c) Pg. 77
👉🏼 Do Example 2(a, b) Pg. 78
Dependent Variable (Y) = Food Expenditure
Independent Variable (X) = Annual Income
👉🏼 Do Example 3(a, b) Pg. 79
Dependent Variable (Y) = Score
Independent Variable (X) = Tuition hours
Video V1W7: Intro to Correlation & Scatter Plot
LEARNING OBJECTIVE 2
Pearson Coefficient of Correlation
Students need to know how to compute and interpret Pearson coefficient of correlation, r.
👉🏼 Refer Pg. 75 (formula)
👉🏼 Refer Pg. 76 (guide to use scientific calculator to get value r)
👉🏼 Watch Video V2W7
👉🏼 Redo Example 1(c) Pg. 85
👉🏼 Do Example 2(c) Pg. 78
Answer: r = 0.9194 --There is a strong positive correlation between annual income and food expenditure.
👉🏼 Do Example 3(c) Pg. 79
Answer: r = 0.9652 --There is a strong positive correlation between score and tuition hours.
Video V2W7: Pearson Coefficient of Correlation
Second Class
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 V3W7 and V4W7
👉🏼 Refer Pg. 80 (formula)
👉🏼 Refer Pg. 76 (guide to use scientific calculator to get value a and b)
👉🏼 Redo Example 4(c, d) Pg. 82
Video V3W7: Introduction to Simple Linear Regression
Video V4W7: Simple Linear Regression
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