Forest Fires and Acres Burned An environmentalist wants to determine the relationships between the numbers ( thousands ) of forest fires over the year and the number ( in hundred thousands ) of acres burned . The data for 6 recent years are shown . Number of fires (x) 62 57 45 72 69 58 Number of acres burned (y) 15 30 15 62 42 19
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Forest Fires and Acres Burned An environmentalist wants to determine the relationships between the numbers ( thousands ) of forest fires over the year and the number ( in hundred thousands ) of acres burned . The data for 6 recent years are shown .
Number of fires (x) | 62 | 57 | 45 | 72 | 69 | 58 |
Number of acres burned (y) | 15 | 30 | 15 | 62 | 42 | 19 |
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- b.Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. c. find the critical valuesListed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r using alpha equals 0.01 .Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals? a. Construct a scatterplot. b. The linear correlation coefficient is r equals (Round to three decimal places as needed.) c. The critical values are r equals (Round to three decimal places as needed. Use a comma to separate answers as needed.)I need to find the value of the correlation coefficient AND determine the critical value(s) of the correlation coefficient.
- Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r using alpha equals 0.01. Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals? a. Construct a scatterplot. b. The linear correlation coefficient is r= (Round to three decimal places as needed.) c. The critical values are r= (Round to three decimal places as needed. Use a comma to separate answers as needed.)Q4. Using the listed duration and interval after times, find the best predicted “interval after”time for an eruption with a duration of 253 seconds. How does it compare to an actual eruptionwith a duration of 253 seconds and an interval after time of 83 minutes?Duration 242 255 227 251 262 207 140IntervalAfter91 81 91 92 102 94 91 a) Find the value of the linear correlation coefficient ?b) Find the critical values of r from table A-6 using ∝= 0.05c) Determine whether there is sufficient evidence to support a claim of a linear correlationBetween the two variables.Q4. Using the listed duration and interval after times, find the best predicted “interval after”time for an eruption with a duration of 253 seconds. How does it compare to an actual eruptionwith a duration of 253 seconds and an interval after time of 83 minutes?Duration 242 255 227 251 262 207 140IntervalAfter91 81 91 92 102 94 91 a) Find the value of the linear correlation coefficient ?b) Find the critical values of r from table A-6 using ∝= 0.05c) Determine whether there is sufficient evidence to support a claim of a linear correlationBetween the two variables.d) Find the regression equation,e) Letting the first variable be the predictor (x) variable, find the indicated predicted value.
- Using the linear correlation coefficient found in the previous step, determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. Choose the correct answer below.Find the linear correlation coefficient, r, then determine whether there is sufficient evidence to support the claim of a linear correlation between the two variables. The linear correlation coefficient is r= _____ (Round to three decimal places as needed.)For a data set of brain volumes (cm3) and IQ scores of seven males, the linear correlation coefficient is r=0.807. Use the table available below to find the critical values of r. Based on a comparison of the linear correlation coefficient r and the critical values, what do you conclude about a linear correlation?
- As we have noted in previous chapters, even a very small effect can be significant if the sample is large enough. Suppose, for example, that a researcher obtains a correlation (computed from the raw data) of r = 0.60 for a sample of n = 10 participants. (4 pts. total) Is this sample sufficient to conclude that a significant correlation exists in the population? Use a two-tailed test with α = .05. In your response, be sure to specify the critical value for r.Determine the critical values of r and if it represents a significant linear correlation.Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r using α=0.01. Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals?