# 2. r=0.1,n=500 r=0.8,n=5 a biologist is studying the levels of heavy

2. r=0.1,n=500 r=0.8,n=5 A biologist is studying the levels of heavy metal contaminants among a population of the South Nakaratuan Chubby Bat. The biologist is interested in constructing a simple linear regression
model to investigate the relationship between weight of an animal and the level of heavy metal
contamination. In the proposed regression model the level of contaminant is the response
variable and weight is the explanatory variable. The contaminant level is measured in parts per
billion (ppb) and weight in grams. The SPSS output is given below. Use the output to answer the
following questions.
Model Summary
Model R R Square Adjusted R Std. Error of the Estimate Square
.921a 1 .848 .839 13.82229 a. Predictors: (Constant), weight
ANOVAa
Model Sum of Squares
Regression 1 Residual df Mean Square 18143 1 18143 3247.94781 17 Sig. 18 Total 94.96 .000b 191.05575 21391 F a. Dependent Variable: contaminant
b. Predictors: (Constant), weight
Coefficientsa
Model Unstandardized Coefficients Standardized t Sig. Coefficients
B
1 (Constant)
weight Std. Error -71.63611 28.17794 2.18277 0.22399 Beta
-2.54
.921 .021 9.74 .000 a. Dependent Variable: contaminant (a) What percent of variation in the values of contaminant level that is explained by the
linear regression model between contaminant level and weight?
(b) What is the correlation between contaminant level and weight?
(c) What is the predicted contaminant level for an animal weighted 150 grams? (d) One of the animals in this analysis had a weight of 145 grams and contaminant level of
222 ppb. What is the residual for this observation?
(e) What is least squares regression line?
(f) What is the average change in contaminant level when the weight of an animal is
increased by 1 gram?
(g) Construct a 99% confidence interval for the regression slope.
(h) The biologist wants to determine whether there is a positive linear association between
contaminant level and weight of an animal. Write down the appropriate hypotheses,
value of test statistic, degrees of freedom of the test statistic, p-value, and the
conclusion.

## 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:
Number of pages
Urgency
Basic features
• Free title page and bibliography
• Unlimited revisions
• Plagiarism-free guarantee
• Money-back guarantee
On-demand options
• Writer’s samples
• Part-by-part delivery
• Overnight delivery
• Copies of used sources
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.

### 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.

### 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.