Seal team 6 Flashcards

0
Q

You have multiple independent variable X

relationship between x and y is described as a linear function

Do you have a simple linear regression?

A

NO

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1
Q

You have only ONE independent variable x

The relationship between x and y is explained by a linear function

Do you have a simple linear regression?

A

Yes

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2
Q

If there is a wide distribution of the variables from the line do you have a strong or weak relationship?

A

Weak

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3
Q

Can you make assumptions outside the range of data in a linear regression?

A

No - it did not work out well for NASA

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4
Q

Correlation tells us -

A

how strong the relationship is

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5
Q

Regression helps us predict one factor from the other

True or False

A

True

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6
Q

In regression analysis, what is the null hypothisis

A

Ho - there is no relationship

H1 - there is a relationship

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7
Q

Is there a causal effect implied with correlation?

A

No - Correlation analysis is used to measure the strength of the association (linear relatioship) between 2 variables

Correlation is only concerned with strength of the relationship

there is no causal effect with correlation

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8
Q

Regression analysis is used to:

A

Predict the value of a dependent variable based on the value of at least one independent variable

Explain the impact of changes in an independent variable on the dependent variable.

Ie.e change in sq feet of the store ompact on sales

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9
Q

What are the 2 types of relationships

A

Linear and curvilinear

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10
Q

How do you draw a relationship along a curvilinear relationship

A

you must break it in to parts on analyze the linear portions independently.

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11
Q

What is the Simple Linear Regression Equation

A
Yi = bo +b1Xi
Y = Estimated value for for observation i
bo = Estimate of the regression intercept Bo
b1 = Estimate of the slope of B1
X= value of X for observation i
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12
Q

The Least Squares Method

A

Used to find bo and bi terms in the regression

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13
Q

what is bo

A

The estimated mean value of Y when X is zero

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14
Q

what is bi

A

estimated change in the mean value of Y as a result in a 1 unit change in x

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15
Q

What do you choose in PH Stat to run a simple linear regression?

A

Simple Linear Regression

16
Q

In the house price example where square feet is used to predict price:
IF the coefficients in PH stat are
intercept = 98.24833
Sq ft = .10977

What is the regression equation

A

House price = 98.24833 + .10977(times square feet)

17
Q

The coefficient of determination is also known as

A

r2

R squared

18
Q

What is the measure of total variation

A

SST - Total Sum of Squares
measures the variation in Y1
values around their mean Y