Question

Some types of algae have the potential to cause damage to river ecosystems. The accompanying data...

Some types of algae have the potential to cause damage to river ecosystems. The accompanying data on algae colony density (y) and rock surface area (x) for nine rivers is a subset of data that come from a study.

x 49 55 50 79 44 37 70 45 50
y 154 48 24 35 36 171 13 185 27

a) Find the equation of the least squares line. (Round your answers to three decimal places.)

ŷ = __+__x

(b)What is the value of r2 for this data set? (Round your answer to three decimal places.)

Write a sentence interpreting this value in context. (Round your answer to one decimal place.)

___ % of the variability in algae colony density can be explained by the approximate linear relationship between algae colony density and rock surface area.

(c) What is the value of se for this data set? (Round your answer to three decimal places.)

Homework Answers

Answer #1

Excel output of regression analysis is

from the output

a)

y = -3.018X+237.6273

b)

r2 = 0.319

31.9% of the variability in algae colony density can be explained by the approximate linear relationship between algae colony density and rock surface area.

c)

SE=62.491

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
The invasive diatom species Didymosphenia geminata has the potential to inflict substantial ecological and economic damage...
The invasive diatom species Didymosphenia geminata has the potential to inflict substantial ecological and economic damage in rivers. An article described an investigation of colonization behavior. One aspect of particular interest was whether y = colony density was related to x = rock surface area. The article contained a scatterplot and summary of a regression analysis. Here is representative data. x 50 71 55 50 33 58 79 26 y 175 1952 71 45 25 28 58 30 x 69...
Consider the following data for two variables, x and y. x 22 24 26 30 35...
Consider the following data for two variables, x and y. x 22 24 26 30 35 40 y 13 22 34 34 41 35 (a) Develop an estimated regression equation for the data of the form ŷ = b0 + b1x.  (Round b0 to one decimal place and b1 to three decimal places.) ŷ = (b) Use the results from part (a) to test for a significant relationship between x and y. Use α = 0.05 Find the value of the...
8. Consider the following data for a dependent variable y and two independent variables, x1 and...
8. Consider the following data for a dependent variable y and two independent variables, x1 and x2. x1 x2 y 30 12 94 47 10 108 25 17 112 51 16 178 40 5 94 51 19 175 74 7 170 36 12 117 59 13 142 76 16 211 (a) Develop an estimated regression equation relating y to x1. (Round your numerical values to one decimal place.) ŷ = ______   Predict y if x1 = 51. (Round your answer...
A study is given in which scientists examined data on mean sea surface temperatures (in degrees...
A study is given in which scientists examined data on mean sea surface temperatures (in degrees Celsius) and mean coral growth (in millimeters per year) over a several-year period at different locations. (Sea surface temperature is x and growth is y.) Sea Surface Temperature 29.69 29.88 30.15 30.23 30.49 30.66 31.00 Growth 2.62 2.57 2.67 2.60 2.49 2.37 2.26 (a) Find the regression equation. (Round your answers to three decimal places.) ŷ =  +  x (b) Say in words what the numerical...
You may need to use the appropriate technology to answer this question. Consider the following data...
You may need to use the appropriate technology to answer this question. Consider the following data for a dependent variable y and two independent variables, x1 and x2. x1 x2 y 30 12 95 47 10 108 25 17 112 51 16 178 40 5 94 51 19 175 74 7 170 36 12 117 59 13 142 76 16 211 The estimated regression equation for these data is ŷ = −17.85 + 2.00x1 + 4.73x2. Here, SST = 15,091.6,...
For the accompanying data​ set, (a) draw a scatter diagram of the​ data, (b) by​ hand,...
For the accompanying data​ set, (a) draw a scatter diagram of the​ data, (b) by​ hand, compute the correlation​ coefficient, and​ (c) determine whether there is a linear relation between x and y. x   y 2   4 4   8 6   12 6   12 7   20 Data set x 22 44 66 66 77 y 44 88 1212 1212 2020 Critical Values for Correlation Coefficient n 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10...
Consider the accompanying data on x = research and development expenditure (thousands of dollars) and y...
Consider the accompanying data on x = research and development expenditure (thousands of dollars) and y = growth rate (% per year) for eight different industries. x 2025 5039 906 3572 1157 327 378 191 y 1.90 3.96 2.44 0.88 0.37 −0.90 0.49 1.01 (a) Would a simple linear regression model provide useful information for predicting growth rate from research and development expenditure? Use a 0.05 level of significance. Calculate the test statistic. (Round your answer to two decimal places.)...
The table below gives the age and bone density for five randomly selected women. Using this...
The table below gives the age and bone density for five randomly selected women. Using this data, consider the equation of the regression line, yˆ=b0+b1x , for predicting a woman's bone density based on her age. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Age 50...
Consider the following data on price ($) and the overall score for six stereo headphones tested...
Consider the following data on price ($) and the overall score for six stereo headphones tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). Brand Price ($) Score A 180 76 B 150 69 C 95 63 D 70 58 E 70 40 F 35 24 (a) The estimated regression equation for this data is ŷ = 23.462 + 0.315x,  where x =...
The following data show the brand, price ($), and the overall score for six stereo headphones...
The following data show the brand, price ($), and the overall score for six stereo headphones that were tested by a certain magazine. The overall score is based on sound quality and effectiveness of ambient noise reduction. Scores range from 0 (lowest) to 100 (highest). The estimated regression equation for these data is ŷ = 19.385 + 0.346x, where x = price ($) and y = overall score. Brand Price ($) Score A 180 78 B 150 71 C 95...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT