To examine the linear correlation between adult age and weight, data was collected from 9 adults. See the table below. Age Weight (Years) (pounds) 25 217 26 202 28 226 39 200 41 128 43 157 46 225 54 186 56 152 Does this result suggest that the correlation is statistically significant? Use a = 0.10. Important Note: Round your value for r to three decimals before computing the STS. DO NOT use the built- in LinRegTTest on a calculator because you might get marked wrong. When computing the P-value, use the rounded STS. cor O Even if the correlation is found to be statistically significant, that does not necessarily mean that changes in x cause changes iny 1. Select the correct statement: O If the correlation is found to be statistically significant, that means that changes in x cause changes in y The hypotheses are: O Ho:p > 0; Ha:p < 0 - 0: Ha: e > 0

QUESTION 3 What percent of scores are below an SAT score of 560?

The table available below shows the weights (in pounds) for a sample of vacuum cleaners. The weights are classified according to vacuum cleaner type. At a = 0.10, can you conclude that at least one mean vacuum cleaner weight is different from the others? Click the icon to view the vacuum cleaner weight data. Let μBU, BLU, and μTC represent the mean weights for bagged upright, bagless upright, and top canister vacuums respectively. What are the hypotheses for this test? A. Ho: At least one of the means is different. Ha: MBUHBLUPTC B. Ho: "BU HBLU HTC # Ha: MBUHBLUPTC C. Ho: MBUHBLU = HTC Ha: At least one of the means is different. D. Ho: MBU - HBLU = μTC Ha: HBU #BLU HTC What is the test statistic? F = 12.56 (Round to two decimal places as needed.) What is the P-value? P-value = 0.000624 (Round to three decimal places as needed.)

Using​ PivotTables, find the mean and standard deviation of sales by region in the data provided.   LOADING... Click the icon to view the data.         Question content area bottom Part 1 Complete the table below. ​(Type integers or decimals rounded to two decimal places as​ needed.)   Average of Amount StdDev of Amount East enter your response here enter your response here North enter your response here enter your response here South enter your response here enter your response here West enter your response here enter your response here Grand Total enter your response here enter your response here

QUESTION 7 Given an x-mean3D3.4, SSx-97.3, y-mean33.9, SSy-45.2, Sxy-55.5, and a sample size of 45, calculate the following: X Sample Standard Deviation and Y Sample Standard Deviation X Population Standard Deviation and Y Population Standard Deviation Sample Covariance and Population Covariance Sample Correlation and Population Correlation

Estimate the most likely degree of correlation for the scatterplot Options: a. 0 b. .85 c. -.90 d. -.05

The authors of a paper were interested in how the distance a deer mouse will travel for food is related to the distance from the food to the nearest pile of debris. Distances were measured in meters. The data and computer output are given below. Distance from Debris Distance Traveled 6.94 0.00 5.23 6.13 5.21 11.29 7.10 14.35 8.16 12.03 5.50 22.72 9.19 20.11 9.05 26.16 9.36 30.65 Simple Linear Regression Results:  Dependent Variable: Traveled Independent Variable: Debris Sample size: 9 R (correlation coefficient) = 0.5657 R-sq = 0.32002088 Estimate of error standard deviation 8.670711 Parameter estimates:  Parameter Estimate Std. Err.  Alternative DF T-Stat P-Value Intercept -7.6854587 13.332196 ≠ 0 7 -0.5764586 0.5824 Slope 3.2340908 1.7818117 ≠ 0 7 1.8150575 0.1124 a)What is the least squares regression line for the output given above? b) what is the predicted traveled distance given the distance from debris is 6.5 meters?

d and f only   do not understand how to calculate     Where are the deer? Random samples of square-kilometer plots were taken in different ecological locations of a national park. The deer counts per square kilometer were recorded and are shown in the following table. Mountain Brush Sagebrush Grassland Pinon Juniper 35 17 2 30 53 6 20 19 2 26 19 8 Shall we reject or accept the claim that there is no difference in the mean number of deer per square kilometer in these different ecological locations? Use a 5% level of significance. (a) What is the level of significance? State the null and alternate hypotheses. Ho: μ1 = μ2 = μ3; H1: All three means are different.Ho: μ1 = μ2 = μ3; H1: Exactly two means are equal.    Ho: μ1 = μ2 = μ3; H1: Not all the means are equal.Ho: μ1 = μ2 = μ3; H1: At least two means are equal. (b) Find SSTOT, SSBET, and SSW and check that SSTOT = SSBET + SSW. (Use 3 decimal places.) SSTOT =   SSBET =   SSW =   Find d.f.BET, d.f.W, MSBET,…

Given the scatter plot below, which of the following describes the strength and direction of the data? 10 Weak negative correlation Strong negative correlation Strong positive correlation Weak positive correlation

QUESTION 2 What percent of scores are above an ACT score of 19?