X1 and5. The following table gives indices of industrial production of registeredunemployed (in lakhs). Calculate the value of the coefficient of correlation.Year200820091022010 20112012201320142015Index of Production10010410710511210399Number Unemployed :151213111212192620

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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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Compute the correlation coefficient between the price of eggs and the price of milk. Round the answer to at least three decimal places.
Below is a table showing the relationship between age and bone density of a typical healthy adult male. Age (years) 25 35 45 55 65 75 85 Bone density (mg/cm²) 1165 1135 1085 1060 1015 975 910 Using your line of best fit find the equation for this line. Describe the correlation between the two variables and what conclusions can you make from this set of data? Using graph plotted extrapolate to find the bone density of a 90 years old typical adult.
1. This study assessed the relationship between the distance (miles) and the severity of fire damage (a severity index marked by x1000). We want to see if we can predict the severity of the fire based on how far away the company is from the fire. Please use the accompanying data to answer the following questions. Distance Damage(*1000) 3.4 26.6 1.8 17.8 4.6 31.3 2.3 23.1 3.1 27.5 5.5 36.0 0.7 14.1 3.0 22.3 2.6 19.6 4.3 31.3 2.1 24.0 1.1…
eat out or in The overall change in the consumer price index is a weighted average of changes in various categories. on november 19, 2011 the boston globe reported the data displayed in figure 5.7. the overall change in the cpi is a weighted average of the change for food and the change for everything else. do you have enough information to find the weights?
The correlation between a variable and itself is always equal to 0.5 -1 1
Which of the following sets of data represent valid functions? OR = {(– 5,0), (2, 3), (6, 4), (8, 9), (15, 14)} OG = {(– 5, – 3), (2, 1), (2, 4), (8, 7), (15, 13)} OS = {(– 5, – 4), (2, 3), (6, 5), (7, 9), (11, 16)} OF = {(– 4, – 1), (3, 2), (5, 4), ( – 4, – 1), (10, 15)} - - Question Help: DVideo
The table shows… coefficient correlation
Select the most appropriate response. If the correlation between a person’s age and annual income is 0.60, then the coefficient of determination tells us that: 36% of the variation in a person’s annual income can be explained by the predictor variable age. 36% of a person’s annual income can be explained by their age 60% of the variation in a person’s annual income can be explained by the predictor variable age 60% of a person’s annual income can be explained by their age
Calculate the coefficient of determination for the data, and interpret the value in context.
eat out or in The overall change in the consumer price index is a weighted average of changes in various categories. on november 19, 2011 the boston globe reported the data displayed in figure 5.7. the change in the CPI for food is a weighted average of the change in the cost of food at home and the change in the cost of food away from home. find the weights.
Determine if the correlation between the two given variables is likely to be positive or negative, or if they are not likely to display a linear relationship. A person's age and the clarity of their vision (positive, negative, or no correlation)
2. An aerobic exercise instructor submitted to the shipping company the data given in the following table, which shows the recommended maximum exercion heart rate for individuals of the given ages. See table below. If the Chief engineer is 62 years old, predict. naximum exercise heart rate. Age (x years) Maximum heart rate (y beats per minute) 20 40 60 170 153 136 A. What is the coefficient of correlation of the age and the maximum rate of the chief engineer? a. -100 b. 100 C. -0.99 d. 0.65

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