10.2 practice edited 2

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What percentage of the variation in  can be explained by the corresponding variations in  and  taken together?

estion 3 of 38 university and gathers their freshman year GPA data and the high school SAI score reported on each of their college applications. He produces a scatterplot with SAT scores on the horizontal axis and GPA on the vertical axis. The data has a linear correlation coefficient of 0.506701. Additional sample statistics are summarized in the table below. Variable Sample Sample standard Variable description mean deviation high school SAT score x 1504.291401 Sx = 105.782904 %3D y freshman year GPA y = 3.240805 Sy = 0.441205 r = 0.506701 slope 0.002113 Determine the y-intercept, a, of the least-squares regression line for this data. Give your answer precise to at least four decimal places. tems of use Thelp about us குசங் careers 2:30 PM 10/24/20 o耳 国 @ hp

pls help Exercise science researchers collecting data within their state noticed that teens who spend more time streaming videos spend less time exercising. What are the explanatory variable and response variable for this relationship? Explanatory variable: time spent exercisingResponse variable: state of teen’s residence Explanatory variable: time spent streaming videosResponse variable: time spent exercising Explanatory variable: time spent exercisingResponse variable: time spent streaming videos Explanatory variable: state of teen’s residenceResponse variable: time spent streaming videos

Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include: Mileage (mpg) Number of Cylinders (cyl) Displacement (disp) Horsepower (hp) Research: Google to understand these variables. Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp Mean Median First Quartile (Q1) Second Quartile (Q2) Third Quartile (Q3) Fourth Quartile (Q4) 10th Percentile 70th Percentile Skewness Kurtosis Document Your Results: In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command” In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…

Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include: Mileage (mpg) Number of Cylinders (cyl) Displacement (disp) Horsepower (hp) Research: Google to understand these variables. Statistical Analysis: Select mpg variable, and perform the following statistical tests. Once you are done with these tests using mpg variable, repeat the same with hp Mean Median First Quartile (Q1) Second Quartile (Q2) Third Quartile (Q3) Fourth Quartile (Q4) 10th Percentile 70th Percentile Skewness Kurtosis Document Your Results: In RStudio: Before running each statistical test, provide a heading in the format shown at the bottom. “# Mean of mileage – Your name’s command” In Microsoft Word: Once you've completed all tests, take a screenshot of your results in RStudio and paste it into a Microsoft Word document. Make sure that snapshots are very clear. You will need multiple snapshots. Also transfer these results to the…

calcium is essential to tree growth because it promotes the formation of wood maintains cell walls. in 1990, the concentration of calcium in precipitation in certain area was 0.11 milligrams per liter (mg/L). A random sample of 10 precipitation dates 2007 results in the following data table. complete parts (a) through (c) below H0 mean= 0.11 Ha mean not =0.11 data table 0.074 0.079 0.073 0.272 0.127 0.189 0.117 0.223 0.305 0.115 b. construct a 98% confidence interval about the sample mean concentration of calcium precipitation  the lower bound  the upper bound

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The best depiction of a population characteristic is a(an): Dependent variable Statistic Independent variable Parameter

Report the correlations between the three independent variables (age, educ and Protestant) and your dependent variable (childs). Which category had the correlation that was the weakest?

Both arm circumference and BMI measurements have been used as screening tools for being underweight, overweight, or obese. We want to determine if there is a significant correlation between arm circumference (in centimeters or cm) and body mass index or BMI (in kg.m2) among 10 participants. The results of a correlation and regression analysis are indicated in the Excel output below. The mean arm circumference (the independent variable) was 35.2 cm, and the mean BMI (the dependent variable) was 30.7 kg.m2.   SUMMARY OUTPUT                         Regression Statistics           Multiple R 0.855646           R Square 0.732129           Adjusted R Square 0.698646           Standard Error 3.806088           Observations 10                         ANOVA               df SS MS F Significance F   Regression 1 316.7456 316.7456 21.86518 0.001590054   Residual 8 115.8904 14.4863       Total 9 432.636…

Write a brief description on the correlation coefficient for the relationship between bullying by peers and GPA. Bivariate Correlations Among all Variables Variable Community violence exposure Bullying by peers SAT math SAT reading GPA Violence exposure Community violence exposure 0.20 -0.24 -0.14 -0.36 Bullying by peers -0.19 -0.07 -0.25 Academic achievement SAT Mathematics 0.60 0.64 SAT Reading 0.49 GPA For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac)

What percent of the variability in the response variable is explained by the explanatory variable? Is the relationship between the two variables significant or not? Show your work.

Using the linear correlation coefficient given above, calculate and give the value of the coefficient of determination. Explain in a sentence what this means in the context of this example, treating gpa as a predictor.

Identify the independent variable and dependent variables."Survival rate of Red Lauan (Shorea negrosensis) and White Lauan (Shorea contorta) using Stinging Nettle (Urtica dioica) Leaf Extract"

A researcher wants to determine if there is a relationship between number of classes students are enrolled in (1,2,3,4,5,etcc.) and stress level scores (measured on a multi-item Likert scale). What type of statistical test should be used?  Group of answer choices Correlation Analysis Chi Square Dependent t-test Independent t-test ANOVA