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7

Correlation and Regression—Moving Together

Lecture no. 7 from the course: Meaning from Data: Statistics Made Clear

Correlation and Regression—Moving Together

Taught by Professor Michael Starbird | 32 min | Categories: The Great Courses Plus Online Mathematics Courses

One way we attempt to understand the world is to identify cases of cause and effect. In statistics, the challenge is to describe and measure the relationship between two variables, for example, incoming SAT scores and college grade point averages.

24 Lectures

1
Image of Describing Data and Inferring Meaning
Describing Data and Inferring Meaning
0 of 33 min
2
Image of Data and Distributions—Getting the Picture
Data and Distributions—Getting the Picture
0 of 31 min
3
Image of Inference—How Close? How Confident?
Inference—How Close? How Confident?
0 of 32 min
4
Image of Describing Dispersion or Measuring Spread
Describing Dispersion or Measuring Spread
0 of 30 min
5
Image of Models of Distributions—Shapely Families
Models of Distributions—Shapely Families
0 of 32 min
6
Image of The Bell Curve
The Bell Curve
0 of 31 min
7
Image of Correlation and Regression—Moving Together
Correlation and Regression—Moving Together
0 of 32 min
8
Image of Probability—Workhorse for Inference
Probability—Workhorse for Inference
0 of 32 min
9
Image of Samples—The Few, The Chosen
Samples—The Few, The Chosen
0 of 29 min
10
Image of Hypothesis Testing—Innocent Until
Hypothesis Testing—Innocent Until
0 of 30 min
11
Image of Confidence Intervals—How Close? How Sure?
Confidence Intervals—How Close? How Sure?
0 of 34 min
12
Image of Design of Experiments—Thinking Ahead
Design of Experiments—Thinking Ahead
0 of 31 min
13
Image of Law—You’re the Jury
Law—You’re the Jury
0 of 29 min
14
Image of Democracy and Arrow’s Impossibility Theorem
Democracy and Arrow’s Impossibility Theorem
0 of 28 min
15
Image of Election Problems and Engine Failure
Election Problems and Engine Failure
0 of 28 min
16
Image of Sports—Who’s Best of All Time?
Sports—Who’s Best of All Time?
0 of 30 min
17
Image of Risk—War and Insurance
Risk—War and Insurance
0 of 30 min
18
Image of Real Estate—Accounting for Value
Real Estate—Accounting for Value
0 of 28 min
19
Image of Misleading, Distorting, and Lying
Misleading, Distorting, and Lying
0 of 30 min
20
Image of Social Science—Parsing Personalities
Social Science—Parsing Personalities
0 of 30 min
21
Image of Quack Medicine, Good Hospitals, and Dieting
Quack Medicine, Good Hospitals, and Dieting
0 of 31 min
22
Image of Economics—“One” Way to Find Fraud
Economics—“One” Way to Find Fraud
0 of 30 min
23
Image of Science—Mendel’s Too-Good Peas
Science—Mendel’s Too-Good Peas
0 of 31 min
24
Image of Statistics Everywhere
Statistics Everywhere
0 of 31 min

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Reviews

a********m
February 15, 2017
[1] The lectures is not focused. The core conceptual ideas of each lectures is not presented as a coherent ideas. Instead, they are sepated by long, overlapping examples. Would have got killed in my student evaluation if I did this in my class ;) [2] The delivery is not smooth. The lectures are filled with false-start, repetitions, and self-induced interruptions. It seems that the instructor didn't give any prior though about what (and more importantly how) he is going to present the lecture. [3] The examples are not consistent. He started of taking about GPA/SAT scores, introduced r-score and correlation, and then start using the egg/hen example to show the concept [4] On the positive side, the core concent of the lectures is good. Although, I have to skip every 5 mins to get to them.

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p********m
February 8, 2017
Really enjoyed the explanation on mean and variance and how they are used to determine the correlation coefficient

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s********m
November 7, 2016

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