6. The Steward Institute for Environmental Studies has collected data on concentrations of carbon dioxide (CO₂)in the atmosphere since the year 1975.Year197519761977197819791980198119821983198419851986198719881989199019911992199319941995CO₂ Level a. A statistical software calculates r=0.7545. Classify the correlation.(ppm)331332333.7335.3336.7338.5339.8341342.6344.3345.7347348.8351.4352.7354355.5356.2357358.8360.7b. The regression equation that relates CO2 levels and the number of years since 1975is: y = 1.5x+331 Use the regression equation to predict the level of CO₂ that you wouldexpect to find today.c. Use the regression equation to predict the year when the level of atmospheric CO₂ isexpected to reach 410 ppm.

Given data of year and atmospheric CO2 level as shown below

Answered: 6. The Steward Institute for…

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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Past data on household income and expenditure reveal that: (a) The average absolute increase in income in relation to increase in expenditure is $ 1.5 crore and (b) the average absolute increase in expenditure in relation to increase in income is $ 0.50 crore. Find the co-efficient of correlation between household income and expenditure.
1. The chart of data represents the heart rate (beats per mimute) of a jogger over time (minutes). Time (Min) 1 3 4 6. 7. 8. BPM 81 84 86 91 97 102 108 112 la. Write the cquation of the Line of Best Fit Your answer 1b. What is the correlation coefficient? Your answer
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
A2. A study of test results at different schools shows that as the student-to-teacher ratio increases the average test result tends to decrease, although the relationship is quite weak. Which of the following is plausible value for the correlation between student-to- teacher ratio and average test results? A -0.9 B -0.3 C -0.01 D 0.3 E 0.9
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ANSWER THIS QUESTION CORRECTLY!
Calculate Coefficient of Correlation from the following data: 0.1 0.2 0.3 0.4 0.5 0.6 0.7 y 30,000 50,000 60.000 80,000 1.00,000 1,10,000 1.30,000
After gathering data about the number of starfish and measuring the pollution in areas of the ocean you find a negative linear correlation between pollution levels and number of starfish. What can you conclude based on this information? a. There is a confounding variable that is affecting both pollution and starfish. b. As pollution rises the number of starfish falls c. That pollution is causing starfish to die, leading to the negative correlation d. That pollution is supporting starfish, leading to the negative correlation

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