Statistics : 20 mcqs | Mathematics homework help

Question 1

Don't use plagiarized sources. Get Your Custom Essay on
Statistics : 20 mcqs | Mathematics homework help
Just from $13/Page
Order Essay

Under what circumstance, unlikely as it might be, would the standard error of estimate be zero?

Select one:

a. The correlation coefficient is either 1.00 or -1.00.

b. The proportionate reduction in error is also zero.

c. The correlation coefficient is also zero.

d. The standard error of estimate can never be zero.

Question 2

Every year it seems as though last season’s baseball rookie of the year fails to live up to expectations for his sophomore season. What might explain this phenomenon?

Select one:

a. regression to the mean

b. proportionate reduction in error

c. overestimation of effect size

d. standard error of the estimation

Question 3

With regression we are concerned about variability around the ________, rather than variability around the ________ which would be the case in t tests or ANOVAs.

Select one:

a. outliers; line of best fit

b. median; tails of the distribution

c. mean; outliers

d. line of best fit; mean

Question 4

In a study designed to predict blood cholesterol levels from amount of daily saturated fat in grams (X1) and number of hours of daily exercise (X2), we determine that the slope of X1 is 5, the slope of X2 is -4, and the y intercept is 130. Which of the following formulas is the regression equation for these data?

Select one:

a. ? = 130 + 5(X1) -4(X2)

b. ? = 130 + 5(X1) + 4(X2)

c. ? = 130 + 1(X)

d. ? = 130 -5(X1) -4(X2)

Question 5

We can examine a graph to get a sense of how much error there is in a regression equation. Which of the following describes a graph that reveals there will be a high amount of error when using our regression equation?

Select one:

a. Data points cluster very close to the line with several outlier exceptions.

b. The data points consistently cluster far away from the line of best fit.

c. Data points cluster close around the line of best fit.

d. Data points fall directly on the line.

Question 6

In the equation for a regression line, the slope is the:

Select one:

a. z score of the amount that Y is predicted to increase as X increases.

b. value for X when Y is equal to 0.

c. predicted value for Y when X is equal to 0.

d. amount that Y is predicted to increase for a one-unit increase in X.

Question 7

The statistical analysis that allows us to use one scale variable to predict outcome on a second scale variable is called:

Select one:

a. linear analysis.

b. regression.

c. prediction.

d. correlation.

Question 8

The standard error of the estimate indicates:

Select one:

a. the typical distance between the regression line and each of the observed data points.

b. how much error there is in any single prediction we make from a given regression equation.

c. how far, on average, the regression line is from the mean.

d. how far two regression lines are from each other.

Question 9

An independent variable that makes a unique contribution to the prediction of a dependent variable is a(n) ________ variable.

Select one:

a. latent

b. manifest

c. unique

d. orthogonal

Question 10

A researcher wants to be able to predict first-semester grade point average with as much accuracy as possible, so she would like to use both high school grade point average and SAT score as predictor variables. Which of the following techniques would be most appropriate to make this prediction?

Select one:

a. standardized regression coefficient

b. multiple regression

c. simple linear regression

d. proportionate reduction in error

Question 11

To determine the Y intercept, we determine the value of Y when X is:

Select one:

a. at the minimum of the data set.

b. at the mean.

c. at the maximum of the data set.

d. zero.

Question 12

In regression, the discovery of additional predictor variables that are separate and distinct serves to:

Select one:

a. over-complicate the analysis.

b. help researchers assess error of prediction.

c. explain more of the variability in our outcome variable.

d. create redundancy in our equation.

Question 13

If two variables, independently, can help us predict the outcome of a third variable, we say that they are:

Select one:

a. proportionate.

b. standardized.

c. autonomous.

d. orthogonal.

Question 14

The predicted z score for the dependent variable will always be ________ the individual’s z score for the independent variable.

Select one:

a. less than

b. the same as

c. two times

d. more than

Question 15

As the standard error of estimate becomes larger, predictions become:

Select one:

a. less accurate.

b. smaller.

c. more accurate.

d. larger.

Question 16

The tendency for very tall parents to have children who are somewhat short illustrates the phenomenon:

Select one:

a. variability.

b. regression to the mean.

c. central limit theorem.

d. central tendency.

Question 17

A small standard error of the estimate means that:

Select one:

a. your two variables are poorly correlated.

b. variability is high in your Y variable.

c. confounding variables may be present.

d. you are making predictions with great accuracy.

Question 18

For a simple linear regression, the standardized regression coefficient is:

Select one:

a. the square root of the slope.

b. the square of the r statistic.

c. equal to the Pearson correlation coefficient.

d. unrelated to the correlation value.

 

 

 

Question 19

The regression line is also called the:

Select one:

a. line of best fit.

b. line of central limit.

c. prediction estimate.

d. error of estimate.

Question 20

Once we have an equation for a straight line through our data, we can:

Select one:

a. use an independent-samples t test to compare means.

b. speculate about the causal relationship.

c. compute post hoc tests.

d. look at each value on the x-axis and predict its corresponding value on the y-axis.

 

 

 

Place your order
(550 words)

Approximate price: $22

Calculate the price of your order

550 words
We'll send you the first draft for approval by September 11, 2018 at 10:52 AM
Total price:
$26
The price is based on these factors:
Academic level
Number of pages
Urgency
Basic features
  • Free title page and bibliography
  • Unlimited revisions
  • Plagiarism-free guarantee
  • Money-back guarantee
  • 24/7 support
On-demand options
  • Writer’s samples
  • Part-by-part delivery
  • Overnight delivery
  • Copies of used sources
  • Expert Proofreading
Paper format
  • 275 words per page
  • 12 pt Arial/Times New Roman
  • Double line spacing
  • Any citation style (APA, MLA, Chicago/Turabian, Harvard)

Our guarantees

Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.

Money-back guarantee

You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.

Read more

Zero-plagiarism guarantee

Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.

Read more

Free-revision policy

Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.

Read more

Privacy policy

Your email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.

Read more

Fair-cooperation guarantee

By sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.

Read more

Order your essay today and save 15% with the discount code MATTERS