Determine if there is a linear correlation between height (inches) and weight (pounds), height being the independent var

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Determine if there is a linear correlation between height (inches) and weight (pounds), height being the independent var

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Determine If There Is A Linear Correlation Between Height Inches And Weight Pounds Height Being The Independent Var 1
Determine If There Is A Linear Correlation Between Height Inches And Weight Pounds Height Being The Independent Var 1 (73.42 KiB) Viewed 35 times
Determine If There Is A Linear Correlation Between Height Inches And Weight Pounds Height Being The Independent Var 2
Determine If There Is A Linear Correlation Between Height Inches And Weight Pounds Height Being The Independent Var 2 (73.42 KiB) Viewed 35 times
Determine If There Is A Linear Correlation Between Height Inches And Weight Pounds Height Being The Independent Var 3
Determine If There Is A Linear Correlation Between Height Inches And Weight Pounds Height Being The Independent Var 3 (51.94 KiB) Viewed 35 times
Determine If There Is A Linear Correlation Between Height Inches And Weight Pounds Height Being The Independent Var 4
Determine If There Is A Linear Correlation Between Height Inches And Weight Pounds Height Being The Independent Var 4 (73.47 KiB) Viewed 35 times
Determine If There Is A Linear Correlation Between Height Inches And Weight Pounds Height Being The Independent Var 5
Determine If There Is A Linear Correlation Between Height Inches And Weight Pounds Height Being The Independent Var 5 (32.72 KiB) Viewed 35 times
Determine if there is a linear correlation between height (inches) and weight (pounds), height being the independent variable (x) and weight the dependent variable (y). The data is provided on page 3 of this document. Round all answers 3 decimal places and show your work. Male Data: 1. Using the data for males, determine the value of the sample linear correlation coefficient, r. 2. Using Table A-6, what is the critical value using the 0.05 significance level. 3. Is there significant evidence to support the claim of linear correlation between height and weight? Explain your answer using complete sentences. 4. Find the equation of the regression line. Write your answer below. 5. Find the best predicted weight in pounds for a male with a height of 65 inches? Show your work!

Female Data: 6. Using the data for females, determine the value of the sample linear correlation coefficient, r. 7. Using Table A-6, what is the critical value using the 0.05 significance level. 8. Is there significant evidence to support the claim of linear correlation between height and weight? Explain your answer using complete sentences. 9. Find the equation of the regression line. Write your answer below. 10. Find the best predicted weight for a female with a height of 65 inches. Show your work! 11. Give a conclusion of your findings of linear correlation between height and weight between males and females. Use at least 2-3 complete sentences.

Below is a random sample of adult males and females. MALE MALE FEMALE FEMALE Height (Inches) Weight (Pounds) Height ( Inches) Weight (Pounds) 70.8 169.1 64.3 114.8 66.2 144.2 66.4 149.3 71.7 179.3 62.3 107.8 68.7 175.8 62.3 160.1 67.6 152.6 59.6 114.9 69.2 166.8 63.6 150.4 66.5 135.0 59.8 111.7 67.2 201.5 63.3 156.3 68.3 175.2 67.9 188.6 65.6 139.0 61.4 110.2 63.0 156.3 66.7 178.1 68.3 186.6 64.8 161.1 73.1 191.1 63.1 136.1 67.6 151.3 66.7 182.4 68.0 209.4 66.8 238.4 71.0 237.1 64.7 108.8 61.3 176.7 65.1 119.0 76.2 220.6 61.9 161.9 66.3 166.1 64.3 174.1 69.7 137.4 63.4 181.2 65.4 164.2 60.7 124.3 70.0 162.4 63.4 201.2 62.9 151.8 62.6 106.7 68.5 144.1 60.6 124.1 69.0 142.0 63.0 145.0

Chapter 10 -Table A-6 Table A-6 Critical Values of the Pearson Correlation coefficient 05 = 01 990 950 5 959 917 6 3 878 811 -754 707 566 632 502 9 10 18 875 834 798 .765 .735 708 684 661 641 12 13 14 15 576 563 532 514 623 16 17 606 590 18 19 20 25 30 482 468 456 444 396 361 335 312 294 279 254 236 575 561 505 463 430 402 35 40 45 西西勒石明 说 明 明烟 50 60 70 378 361 330 305 220 207 196 286 269 90 100 256
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