Below is the SPSS output for the relationship between height at age 3 (X) and at age 20 (Y). Correlations   heightAt3 heightAt20 heightAt3 Pearson Correlation 1 .840** Sig. (2-tailed)   .000 N 16 16 heightAt20 Pearson Correlation .840** 1 Sig. (2-tailed) .000   N 16 16 **. Correlation is significant at the 0.01 level (2-tailed).   ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 236.838 1 236.838 33.628 .000b Residual 98.599 14 7.043     Total 335.438 15        Dependent Variable: heightAt20  Predictors: (Constant), heightAt3   Coefficientsa Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta 1 (Constant) 41.679 4.470   9.325 .000 heightAt3 .664 .114 .840 5.799 .000  Dependent Variable: heightAt20   State hypothesis for the correlation: Is the correlation significant using α = .01?   State the conclusion in APA format.   Evaluate the regression equation using α = .01 and state the conclusion in APA format. what is the regression equation? Using the regression equation, if a child is 42 inches at 3 how tall would you predict that he will be at age 20?

Fifty-four wild bears were anesthetized, and their weights and chest sizes were measured. Results are showing in the graph below. IS there sufficient evidence to support the claim that there is a linear correlation between 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? Correlation Results Correlation coeff r:0.963141 Critical r ±0.2680855 P-value (two-tailed) 0.000

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 Correlation Results 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 Correlation coeff, r: 0.959614 a measured chest size can be used to predict the weight? Use a significance level of = 0.05. Critical r: +0.2680855 P-value (two tailed): 0.000 Но: Р H1:P (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) O A. There is one critical value at r= . B. There are two critical values at r= ± Is there sufficient evidence to support the claim that there is a linear correlation between…

true or false? A correlation Coefficient of -1.00 or 1.00 indicates that the two variables are perfectly correlated.

Can you please check my work

An exercise scientist wants to know if there is a relationship between explosive leg power and standing jump height.  To determine if a relationship exists, a group of 30 participants' (N = 30) Leg power was measured  by recording each participants' single squat weight max (in pounds). Next, each participant was asked to perform a standing jump and their Jump height was recorded (in meters). Using the variables “Leg power” and “Jump height”, conduct a Pearson's Correlation, at α = 0.05, to determine if leg power and jump height are correlated   Interpret r. What type of correlation exists between leg strength and jump height?   A. A negative correlation B. No correlation C. A positive correlation D. We cannot know based on the available information

Thank you

For the data below, the Pearson correlation coefficient between y and x^2 isA. 0.913B. 0.985C. 0.990D. 0.873