An experiment was done to see if there was any correlation between the volume of water in a fish tank and the average length to which goldfish grew when they were hatched and raised in that tank. Here are the results. Draw a scattergram and compute r.

Fish Tank Volume, in Gallons Average Length of Fish, in Inches
0.5 1.8
1 2.1
2 2.2
4 2.9
5 3.3

PLEASE SHOW ALL WORK AND FULLY EXPLAIN EACH STEP. Thank you.

The simplest thing we can do with two variables that we believe
are related is to draw a scattergram. A scattergram is a simple
graph that plots values of our dependent variable Y and independent
variable X. Normally we plot our dependent variable on the vertical axis and
the independent variable on the horizontal axis.

Just from our scattergram, we can sometimes get a fairly good idea
of the ...

Solution Summary

An experiment was done to see if there was any correlation between the volume of water in a fish tank and the average length to which goldfish grew when they were hatched and raised in that tank. Here are the results. Draw a scattergram and compute r.

Fish Tank Volume, in Gallons Average Length of Fish, in Inches
0.5 1.8
1 2.1
2 2.2
4 2.9
5 3.3

PLEASE SHOW ALL WORK AND FULLY EXPLAIN EACH STEP. Thank you.

Compute the correlation coefficient for the data below:
X 4 -1 1 3 4
Y 3 -1 -2 3 1
A) -0.082 B) 0.013 C) 0.286 D) 0.77
Compute the correlation coefficient for the data below.
X 2 1 0 3
Y 4 2 8 1
A) -0.142 B) 0.429 C) -0.792 D) -0.349
Ten pairs of points yielded a correlation coefficient r = 0.79. If ? = 0.05, which

1)Given the regression equation: Y = 1.3479 + 0.3978 X, what is the fitted value (orY ? ) if X = -3?
2) Calculate bo, b1 for the information provide below
X Y
-2 9
0 5
-0.5 7
1 100

Need help with this assignment... I am very confused on how to do it. Please show all work and fill out the worksheet below.
Thanks!
1. Generate a scatterplot. The variables will be weights of cars (x) and the corresponding braking distances (y).
2. Using the prediction procedure, find the best predicted braking dist

The following table shows the number of workdays absent based on the length of employment in years.
Number of workdays absent 2 3 3 5 7 7 8
Length of employment (years) 5 6 9 4 2 2 0
a. What is the independent variable? What is the dependent variable?
b. Using Megastat or Excel

Develop a hypothetical multiple regression (prediction) equation to predict something in your area of professional or personal interest.
a. First, identify the dependent (criterion) variable that you are interested in predicting. What variable do you plan to predict? Next, choose two variables (called independent) that you wi

I am having a difficult time with this question.
Variables Defined:
Lottery: How many times a sampled customer has purchased California lottery tickets in the past two months
Education: How many years of education the sampled customer has completed
Age: The age of the sampled customer in years
Children: How many chi

The correlation between IQ and the verbal SAT score among the seniors at GWB High School is .90; it is significant. The mean IQ is 100 with a standard deviation of 10. The mean SAT score is 500 with a standard deviation of 100. Predict SAT scores for seniors with the following IQs: 105,110,120

1. Results from regressing the spread between Corporate AAA bonds and the Treasury 10-year note on GDP are provided in the attached file.
a) Test the hypothesis:
Ho: Intercept = 0; Ha: Intercept =/= 0
Ho: Slope = 0; Ha: Slope =/= 0
b) Calculate the correlation between the regression residuals t and (t - 1).
c) Test the hyp

Given: The paired sample data of the age of mothers and the weight of their children result in a linear correlation coefficient very close to 0.
Conclusion: Older mothers tend to have heavier children.
Describe the error in the stated conclusion.
A. A linear correlation coefficient very close to 0 implies that there is a