Calculate co-efficient of correlation from the following data :500100015002000X:Y:250030003500100200300400500600700

Given: X 500 1000 1500 2000 2500 3000 3500 Y 100 200 300 400 500 600 700

Answered: Calculate co-efficient of correlation…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Calculate the coefficient of correlation for the following data by rank difference method: 75 88 95 70 60 80 81 50 Y 120 134 150 115 110 140 142 100
A statistics professor is interested in finding out if there's a relationship between the final exam scores in Statistics 102 and the final exam scores of the same students who took Statistics 101. The data are shown in the table. Stat 101 86 93 67 72 47 96 84 72 75 Part: 0/2 Part 1 of 2 Stat 102 84 95 63 73 60 90 90 62 74 (a) Use a graphing calculator to find the correlation coefficient for these data. Round to three decimal places. The correlation coefficient, rounded to three decimal places, is X S
Perform rank correlation analysis on the following data set: x y -5 1.9 -4 0.9 -3.25 0.7 -2.55 -0.5 -1.85 -1.2 -0.9 -1.7 5.5511151231258E-17 0.7 0.8 1.5 1.55 1.6 2.35 -0.1 3.3 0.8 4.1 -1.1 5.1 -0.9 5.8 -0.8 6.7 0.7 What is the rank correlation coefficient? (Round to three decimal places.) What is the critical rho value at a 0.01 significance? Do we have correlation? Yes, the rank correlation coefficient is smaller (in absolute value) than the critical rho value. No, the rank correlation coefficient is larger (in absolute value) than the critical rho value. No, the rank correlation coefficient is smaller (in absolute value) than the critical rho value. Yes, the rank correlation coefficient is larger (in absolute value) than the critical rho value.
The table below lists the mean systolic blood pressure during surgery (mmHg) along with blood loss (ml). Use this table to answer the next three (3) questions . BP Blood Loss 95274 90 170 Strength of Relationship 125 352 105317 weak moderate 110 171 105 150 90 245 90 120 none none 1/4 * 1/2; 3/4 13. Does the correlation coefficient indicate a strong linear correlation ? ( A) Yes ( B) No 14. Approximately what blood loss would you predict for a blood pressure reading of 140 ( A) 319 (B) 363 ( C) 401 ( D) 635 15. Do these data provide sufficient evidence , at the 0.05 level of significance , to indicate that the two variables are indeed correlated ?
Table #10.1.6 contains the value of the house and the amount of rental income in a year that the house brings in ("Capital and rental," 2013). Find the correlation coefficient of determination and then interpret both Table #10.1.6: Data of House Value versus Rental Value Rental Value Rental Value Rental Rental Value 67500 81000 6656 77000 4576 75000 7280 6864 95000 7904 94000 8736 90000 6240 85000 7072 121000 12064 115000 7904 110000 7072 104000 7904 135000 8320 130000 9776 126000 6240 125000 7904 145000 8320 140000 9152 7488 9568 140000 135000 7488 165000 13312 165000 8528 155000 148000 8320 178000 11856 174000 10400 170000 9568 170000 12688 匯 190000 200000 225000 8320 12272 8528 200000 200000 10608 194000 11232 8320 10400 11648 10192 12272 10400 200000 240000 214000 208000 240000 10192 240000 12064 12480 244500 11232 12896 12480 289000 11648 270000 262000 325000 12480 310000 303000 300000 12480
The following table shows the magnitude of earthquakes on the Richter scale, x, and the corresponding depth of the earthquakes (in kilometers) below the surface at the epicenter of the earthquake. Find the correlation coefficient of the following pairs of data: x = earthquake magnitude 2.9 4.2 3.3 4.5 2.6 3.2 3.4 y = depth of earthquake (in km) 5 10 11.2 10 7.9 3.9 5.5
Find the co-efficient of correlation for the following table : x: 10 14 18 22 26 30 у: 18 12 24 6 30 36
How will do simple correlation using data shown in R? Thanks.
The authors of a paper presented a correlation analysis to investigate the relationship between maximal lactate level x and muscular endurance y. The accompanying data was read from a plot in the paper. 390 740 760 790 860 1,035 1,210 1,240 1,290 1,390 1,465 1,490 1,515 2,190 y 3.70 4.10 5.00 5.10 3.90 3.60 6.40 6.98 7.45 4.85 7.90 4.35 6.50 8.80 S = 2,638,258.929, S = 37.7881, S = 7,398.846. A scatter plot shows a linear pattern. (a) Test to see whether there is a positive correlation between maximal lactate level and muscular endurance in the population from which this data was selected. (Use a = 0.05.) State the appropriate null and alternative hypotheses. O Ho: p = 0 H,: p > 0 O Ho: P#0 H:p = 0 O Ho: p = 0 H: p = 0 O Ho: p = 0 Hi p < 0 Compute the value of the sample correlation coefficient, r. (Round your answer to four decimal places.) r = Calculate the test statistic and determine the P-value. (Round your test statistic to one decimal place and your p-value to three decimal…
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Calculate co-efficient of correlation from the following data : 500 1000 1500 2000 2500 3000 600 3500 Y: 100 200 300 400 500 700