**Educational Analysis of Bear Weight and Chest Size Correlation**In a study involving fifty-four wild bears, the subjects were anesthetized, and their weights and chest sizes were recorded. This data is used to determine if there's a linear correlation between the weight of the bears and their chest size. Additionally, we explore whether it's more efficient to measure chest size over weight for predicting the bear’s weight. The significance level for this evaluation is set at α = 0.05.**Determine the Null and Alternative Hypotheses**- Null Hypothesis (H₀): ρ = 0- Alternative Hypothesis (H₁): ρ ≠ 0**Correlation Results**- **Correlation Coefficient (r):** 0.969325- **Critical r:** ±0.2680855- **P-value (two-tailed):** 0.000**Analysis Steps:**1. **Identify the Correlation Coefficient:** The correlation coefficient r is given as 0.969, indicating a strong positive linear relationship between the weights and chest sizes of the bears.2. **Identify the Critical Value(s):** The critical value is ±0.2680855, under the null hypothesis for a two-tailed test.3. **Statistical Significance:** With the p-value at 0.000, which is less than the significance level of 0.05, we reject the null hypothesis. This suggests that there is significant evidence to support a linear correlation between the bears' weights and chest sizes.4. **Practical Implication:** Given the strong correlation, chest size can be used as a reliable predictor for bear weight in this context. This can be particularly handy in field situations where measuring weight directly is more challenging than measuring chest size.This study underscores the importance of statistical analysis in wildlife research, facilitating better decision-making processes and resource management.

Given From above output Level of significance ɑ=0.05 , rcritical=±0.2680855

Answered: K Fifty-four wild bears were…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

5
Which statistical analysis is needed to address this research question: H2: Men and women will differ in how rewarding they find their relationships. One sample t-test Two sample t-test ANOVA Paired sample t-test
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of α=0.05. Correlation Results Correlation coeff, r: 0.963947 Critical r: ±0.2680855 P-value (two tailed): 0.000 Determine the null and alternative hypotheses. H0: ρ is: = 0 H1: ρ is: ≠ 0 Given all the information provided: Identify the correlation coefficient, r. r= _____ (round to three decimal places)
Mr. Ali runs a gift shop in the Defense area, Karachi. He advertises weekly in the local newspapers and is considering increasing his advertising budget. Before doing so, he decides to evaluate the past effectiveness of these advertisements. Five weeks are sampled, and the advertising expenses (in PKR) and sales volume for each is shown in the Table 2. What is correlation coefficient value. S.No. Sales (PKR 100) Advertising (PKR 100) 1.00 4.00 4.10 2.00 7.00 6.72 3.00 6.00 5.05 4.00 8.00 7.26 5.00 4.00 2.69
This question has 6 parts, Thank you.
Statistics Question
Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of a = 0.05 Question: Determine the null and alternative hypotheses
a. Is there a main effect of Drug Dose? Explain. b. Is there a main effect of Sex? Explain. c. Is there an interaction between Sex and Drug Dose? Explain.
According to multiple research, there is a -0.697 correlation between happiness and loneliness. This means that _________. a. People who are happier tend to be less lonely. b. People who are happier tend to be more lonely. c. There is no link between happiness and loneliness. d. There is a causal relationship between happiness and loneliness.
Based on the scatter plot below on data from Central Harlem, would you estimate the correlation coefficient to be positive, negative, or close to 0? Select the correct correlation and corresponding explanation. Household Income vs. Serious Crime Rate (per 1,000 residents) CentralHarlem Data Scatter Plot: 22- 21- 20- 19- 18- 17 16- 15 32 34 36 38 40 42 Household_Income (thousands) Positive; As the household income increases, the serious crime rate decreases. A. Negative; As the household income increases, the serious crime rate decreases. B. Positive; As the household income increases, the serious crime rate also increases. OC. Negative; As the household income increases, the serious crime rate also increases. D. Close to 0; There is no linear correlation between household income and serious crime rate. E. A Moving to another question will save this response. Question 24 of 25 MacBook Air Serious crime_rate
When conducting a correlational analysis, the researcher may obtain three outcomes. Make an investigation into the meanings of positive correlation, negative correlation, and no relationship.
Five students provided data regarding the number of hours they spent on studying (TimeStudy) and their GPA. The data are as follows. Answer the following questions. TimeStudy GPA Student 1 2.00 3.50 Student 2 4.00 3.70 Student 3 5.00 3.30 Student 4 3.00 2.60 Student 5 4.00 3.40 a) According to the SPSS table, what can you conclude regarding the correlation between TimeStudy and GPA? Report the conclusions in proper formats. b) By fitting a linear regression line to represent the relationship between TimeStudy and GPA, the regression line function is ??? = ?. ?? + ?. ?? × ?????????. See the figure Calculate (by hand) the SSresidual.

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS