MATH CHAPTER 4

अब Quizwiz के साथ अपने होमवर्क और परीक्षाओं को एस करें!

Linear correlation

how closely the points of a scatter diagram closely approximate a straight line pattern

Positive correlation

a relationship between two variables in which both variables either increase or decrease together

Regression Line Formula

y^1 = a + bx

Number of hours practicing golf and golf score

Negative linear correlation

Number of hours practicing bowling and bowling score

Positive linear correlation

Temperature outside and ice cream sales

Positive linear correlation

The coefficient of correlation between x and y is r = 0.59. Calculate the coefficient of determination R?

0.59^2 = 0.35 r^2 = 035

Correlation

A measure of strength relationship between two variables

Amount of alcohol consumed and reaction time

Positive linear correlation

Amount of grams of fat consumed daily and cholesterol level

Positive linear correlation

The speed of a vehicle and the time the vehicle reaches its destination

Negative linear correlation

A person's weight and the value of his/her home

No linear correlation

Mother's birth weight and her child's birth weight

No linear correlation

If r = 0?

No linear relationship exists between the variables

R = 0

Non linear relationship

R= -1

Perfect negative

R=1

Perfect positive

R = -0.9

Strong negative

R= 0.91

Strong positive

In the NHL the correlation between "goals scored per game" and "minutes on the ice" for a team of players is found to be 0.8178. Choose the statement that is true about the coefficient of determination

The coefficient of determination r^2 is equal to approximately 0.668. When given as a percent the coefficient of determination is always between 0 and 100% The coefficient of determination states that about 66.88% of the variation in goals scored per gram is explained by minutes on the ice.

How do you interpret a coefficient of determination; r^2 equal to 0.95?

The interpretation is that 95% of the variation in the dependent variable can be explained by the variation in the independent variable.

Correlation coefficient can be zero?

The statement is true.

What does it mean to say that the linear correlation between two variables equals 1? What would the scatter diagram look like?

When the linear correlation coefficient is 1 perfect positive linear reaction between two variables. The scatter diagram would contain points that all lie on a line with a positive slope.

Scatter diagram

a graph representing the ordered pairs of data on a set of axes

Regression

is a statistical technique that produces a model of the relationship (correlation) between the two variables

Coefficient of determination (r^2)

measures the proportion of the variance of the dependent variable y that can be accounted for by the variance of the independent variable x. calculated by squaring the correlation coefficient, r and making it r^2

No linear correlation

no linear relationship between the two variables. The high and low measurements for the two variables are not associated in any predictable straight line pattern

Value r = 0

represents no linear correlation

Value r= -1

represents the strongest negative linear correlation

Value r=1

represents the strongest positive linear correlation

y^1

the predicted value of y (the dependent variable) given the value of x (the independent variable)

a AND b

the regression coefficients

Negative Correlation

the relationship between two variables in which one variable increases as the other variable decreases

The coefficient of determination is _____ of the linear correlation coefficient

the square

Pearson's correlation coefficient (r)

the strength of a linear correlation between the two variables can be numerically measured by Pearson's r


संबंधित स्टडी सेट्स

Midterm Exam Study Guide Psy 210

View Set

personal finance week 10 chapter 3

View Set

Science chapter 2 review assessment

View Set

History - Reformation in England

View Set

Unit 2: Becoming an Entrepreneur #1

View Set

Bank Secrecy Act/Anti-Money Laundering (BSA/AML)

View Set

Chapter 6 Congenital Diseases and Disorders

View Set