What will be the correlation Coefficient, R for the calibration graph above and what does it mean with respect to the graphed components on X and Y axis?
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- Respiratory Rate Researchers have found that the 95 th percentile the value at which 95% of the data are at or below for respiratory rates in breath per minute during the first 3 years of infancy are given by y=101.82411-0.0125995x+0.00013401x2 for awake infants and y=101.72858-0.0139928x+0.00017646x2 for sleeping infants, where x is the age in months. Source: Pediatrics. a. What is the domain for each function? b. For each respiratory rate, is the rate decreasing or increasing over the first 3 years of life? Hint: Is the graph of the quadratic in the exponent opening upward or downward? Where is the vertex? c. Verify your answer to part b using a graphing calculator. d. For a 1- year-old infant in the 95 th percentile, how much higher is the walking respiratory rate then the sleeping respiratory rate? e. f.For the data below, the Pearson correlation coefficient between y and x^2 isA. 0.913B. 0.985C. 0.990D. 0.873The correlation coefficient r between the age of a homeowner, x, and the number of years remaining on the homeowner's mortgage, y, is 0.485. What percent of the variation in the number of years remaining on a mortgage can be explained by differences in homeowners' ages?
- Given the data as shown in the table below X Y 56 0.86 44 0.93 68 0.85 76 0.87 94 0.73 a) Assuming the correlation coefficient of � and � is found to be -0.897995, calculate the slope, �, and y-intercept, �, of the "Best-Fit" line �^=��^+�. Use 4 decimal places for each of �¯, �¯, ��, and �� values obtained from your calculator. Round your answer to 4 decimal places.�= .�= .b) Using the equation of the "Best-Fit" line to predict the value of � when �= 60. Enter your answer in 4 decimal places.�^= .c) Using the equation of the "Best-Fit" line to predict the value of � when �= 0.89. Enter your answer in 4 decimal places.�^= .Q2) Annual rainfall and runoff values of a catehment for a period of 10 years are given below. Analyze the data to (a) develop a non-linear correlation equation to estimate anmual runoff volume for a given annual rainfall value, (b) Estimate r values for the equation, (c) Estimate the runoff depth when the rainfall depth is (i) 350 mm (ii) 600 mm. 2018 2019 Year Anrual Rainfall (um) Annual Runoff (mm) 2010 2011 2012 2013 2014 2015 2016 2017 361 408 217 324 510 488 275 392 296 420 145 160 90 130 205 195 110 157 120 165The following scatterplot shows the mean annual carbon dioxide (CO,) in parts (CO2) per million (ppm) measured at the top of a mountain and the mean annual air temperature over both land and sea across the globe, in degrees Celsius (C). Complete parts a through h on the right. f) View the accompanying scatterplot of the residuals vs. CO2. Does the scatterplot of the residuals vs. CO, show evidence of the violation of any assumptions behind the regression? 16.800 A. Yes, the outlier condition is violated. 16.725 O B. Yes, the linearity and equal variance assumptions are violated. 16.650 C. Yes, the equal variance assumption is violated. 16.575 O D. No, all assumptioris are okay. 16.500 O E. Yes, all the assumptions are violated. 325.0 337.5 350.0 362.5 CO2 (ppm) OF Yes, the linearity assumption is violated. his vear, What mean temperature does
- We can use lenght of a man's hand span to predict his height, with correlation coefficient of r = 0.60. If we change out measurements from sm to m, the new corrrelation will beCompute the value of correlation coefficient of using data in table 1 for the number of hrs. a person works per week and thenumber of accidents or injuries that the person has over a peroid of one week. Table :1 Hrs.Worked ( x ) No. of accidents( y ) 30 2 42 3 25 4 44 8 56 5What does MS between reflects?
- 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…Blood Pressure and Platelets Given below are the systolic blood pressure measurements (mm Hg) and blood platelet counts (1000 cells/ μ L) of the first few subjects included in Data Set 1 “Body Data” in Appendix B. Construct a graph suitable for exploring an association between systolic blood pressure and blood platelet count. What does the graph suggest about that association?ONLY DO LETTER D I'LL UPVOTE IF COMPLETE, ORIGINAL, CORRECT. THANK YOU VERY MUCH Burning fuels in power plants and motor vehicles emit carbon dioxide (CO2), contributing to global warming. The table at the right displays CO2 emissions per person from countries with at least 20 million populations. (a) What is the variable of interest? How do you classify it? (b) Make a histogram of the data using classes of width 2, starting at 0. Show the frequency distribution table and create the Histogram of the data. Be mindful of submitting a correct graph. (c) Describe the shape, center, and spread of the distribution. Which countries are outliers? For a description of the shape, center, and spread, put your response in paragraph form. Select the most appropriate measure of center and measure of spread to describe the distribution. Also, do not forget to interpret the values based on the given context. Lastly, do not forget to include the unit of measurements. For outliers, show your method…