EXAM 2 Conceptual Review

The least-squares regression line is the prediction line that results in the most direct “hits.”

one variable is measured on the ratio scale, the other on the ordinal scale. Which method would you use

How does sampling without replacement differ from sampling with replacement

As the values of variable X go up, the values of variable Y go down. This is an example of a __________ relationship.

In 1936 the polls predicted a landslide victory for Landon of 57%, but Roosevelt won with 62%. Why did this happen?

What does it mean if things are mutually exclusive?

The numerator in Pearson r captures _____?

You creating a scatterplot to illustrate a linear regression, the variable to be predicted should be placed on the _axis

The sum of the prediction errors in linear regression equals ______.

What is an example of having a series of N trials

What are the two approach too probability

What effect does decreasing the range have on a correlation coefficient

The occurrence of event A makes event B impossible to occur. This means it is

If two variables are correlated, there are a few explanations. What are they?

P(events) + Q(events) is equal to

Which of the following are examples of mutually exclusive events?

Much like a standard deviation quantifies the average deviation of scores around the mean, the ____ provides a measure

Priori means

Both X and Y are ratio scaling, which method should you use?

An example of a posteriori probability is ______

Priori is defined as

Which of the following is not a condition that is to be met to use linear regression

Which is an example of a binomial distribution

How are r and bY related

Generally if there's replacement then the events will be independent

Two events are independent if...

I am asking you to find the probability of getting an Ace or club in a deck of cards. I'm asking you to use the rule of

You draw an ace on the first card, then you draw another ace. There's no replacement. This is an example of?

The goal of a simple linear regression is to predict (estimate) the ______________________.

The least-squares regression line is the prediction line that ________ according to the least-squares criterion.

What kind of data do you use correlation with

Both x and y are ordinal or just y is ordinal, what method do you use

Why can the probability of death from a disease be described using a binomial distribution

The denominator in the Pearson r equation captures _____

A test includes both multiple choice questions and true or false. I can still use the binomial distribution

What does the binomial distribution tell us

The vertical distance between an observation on a scatter plot and the least-squares regression line represents _______.

If I have collected data from an individual, but I'm using sampling with replacement

The two most important considerations in selecting the proper correlation method are _____________ and _________________

Why can a multiple choice quiz (a,b,c or d) be a binomial distribution?

What are the two reasons we use random sampling?

P + Q is equal to

What is N in the binomial expansion

What are the 5 criteria for a binomial distribution

In what situations must sampling without replacement must be used

Why can't a binomial distribution be done for a deck of cards

If the x values you calculate a regression line range from 0 - 20, can you predict using an x value of 28

What makes something a random sample

What was the last criteria for Binomial distributions that was not on the previous question

What does it mean to have a -1 or 1 correlation?

What does it mean if you had a 0 correlation

The proportion of the variability of Y that is accounted for by X is calculated by:

If something is heteroscedastic _____

An example of a priori probability is___

What does least squares regression line minimize

In psychology research getting strong or perfect relationships is common

A correlation coefficient expresses the ___________ and _________ of a relationship between two variables

An inverse relationship is the same as a negative relationship

________________ is a topic that considers the relationship between two or more variables for the purpose of prediction

For any linear relationship, there is only one line that will minimize the total prediction error

The probability of mutually exclusive things happening together is

What can you not claim when you have a correlation between two variables?

What's another way to describe regression

If x and y have no relationship, what correlation coefficient would you predict

Which best describes the effect of restricting the range of either the X or Y variable when calculating a correlation?

When using standard error for linear regression we expect the data to be...

If you square r what do you find

The probability of mutually exclusive things happening together is

Correlation is involved with prediction

Posteriori is defined as

Which of the following are examples of exhaustive events?

How strong would find a correlation of r=-.1 to be

What is the binomial expansion

The probability of rolling a number between 1 and 6 on a 6 sided die is?

When a relationship between two variables forms a straight line

The probability of B is affected by the occurrence of A: This is an example of

You can have a correlation coefficient of 1.01 or -1.01

How strong would you define a r=.45

We use standard error to find the average deviation of scores from the line of best fit