Curriculum
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Statistics — Third Secondary
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Curriculum
Statistics — Third Secondary
Unit 1: Correlation and Regression
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Correlation
Text lesson
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Correlation — Lesson quiz
6 questions
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Regression
Text lesson
Preview
The idea of the regression line
Calculating the regression equation
Prediction and its limits
The link between regression and correlation
Worked examples
Common mistakes
Lesson summary
Regression — Lesson quiz
6 questions
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Unit 2: Advanced Statistical Measures
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Advanced Measures of Dispersion
Text lesson
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Advanced Measures of Dispersion — Lesson quiz
6 questions
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Unit 3: Probability
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Conditional Probability and Independent Events
Text lesson
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Conditional Probability and Independent Events — Lesson quiz
6 questions
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Unit 4: Random Variables
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Discrete Random Variables
Text lesson
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Discrete Random Variables — Lesson quiz
6 questions
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Expectation and Variance
Text lesson
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Expectation and Variance — Lesson quiz
6 questions
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Unit 5: The Normal Distribution
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The Normal Distribution and Its Applications
Text lesson
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The Normal Distribution and Its Applications — Lesson quiz
6 questions
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Text lesson
Regression
Statistics — Third Secondary
Regression
Explanation
Practice
Calculating the regression equation
Calculating the regression equation
The formulas used are:
b = (n Σxy − Σx Σy) ÷ (n Σx² − (Σx)²)
a = ȳ − b x̄
where x̄ = Σx ÷ n is the mean of the x-values
and ȳ = Σy ÷ n is the mean of the y-values.
Find n, Σx, Σy, Σxy and Σx².
Calculate the slope b using the formula above.
Calculate x̄ and ȳ, then calculate the intercept a.
Write the equation ŷ = a + bx. As a check, the line always passes through the point (x̄, ȳ).
The sign of b is the same as the sign of the correlation coefficient r.
A positive correlation gives a positive slope, and a negative correlation gives a negative slope.
Regression · 2 / 7
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