An agency collects data on various aspects of housing costs. Here's a scatterplot of theHousing Cost Index (HCI) versus the Median Family Income (MFI). The correlation is r=0.69.The mean HCI is 328.9, with a standard deviatioi of 111.06. The mean MFI is $46234, with astandard deviation of $7042.75. Complete parts a through f.700 - HCI600 -500400300 -200-MFI35404550556065b) What is the equation that predicts housing cost index from Median Family Income?HCI =+(MFI(Round the final answer to four decimal places as needed. Round all intermediate values to four decimal places as needed.)c) For a particular area with MEL = $44,993, what would be the predicted HCI?(Round to two decimal places as needed.)d) This particular area has an MFI of $44,993 and an HCI of 560.48. How far off is the prediction in part (c) from the actual HCI?$4(Round to two decimal places as needed.)

Solution To find equation we will use some standard formule.

Answered: agency collects data on various aspects…

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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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.
The mating call frequency of American bird-voiced tree frogs appears to be related to the outside temperature. The scatterplot below show this relationship. Summary measures are: mean of frequency = 6.01 notes per second, standard deviation of frequency = 1.78 notes per second, mean of temperature = 22.61 degrees Celsius, standard deviation of temperature = 3.35 degrees Celsius, and correlation between frequency and temperature = 0.85 Compute the slope what the slope means in this context. Compute the y-intercept and interpret what the y-intercept means in this context. Describe the relationship between Temperature and Frequency. Predict the frequency when temperature is 23 and 36 degrees. Do you see any problems with wither of the predictions?
Please use the values from the given r values and assign the accurate value to the plots A,B,C, or D.
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A student writes the following interpretation of the slope: "The slope of 0.0577 represents the change in Infant mortality rate for a one unit increase in the child death rate.". Is this interpretation correct? Justify.
A linear model was fit to predict weekly Sales of frozen pizza (in pounds) from the average Price ($/unit) charged by a sample of stores in a city in 39 weeks over a three -year period. The average Sales were 63, 200 pounds (SD = 10, 670 pounds), and the correlation between Price and Sales was -0.529. If the Price in a particular week was two SD higher than the mean Price, how much pizza would you predict was sold that week?
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Let x be the average number of employees in a group health insurance plan, and let y be the average administrative cost as a percentage of claims. x 3 7 15 32 75 y 40 35 30 26 18 (a) Make a scatter diagram of the data and visualize the line you think best fits the data. Flash Player version 10 or higher is required for this question. You can get Flash Player free from Adobe's website. (b) Would you say the correlation is low, moderate, or strong? positive or negative? strong and negative moderate and negative strong and positive low and negative low and positive moderate and positive (c) Use a calculator to verify that Σx = 132, Σx2 = 6932, Σy = 149, Σy2 = 4725, and Σxy = 2997. Compute r. (Round your answer to three decimal places.)r = As x increases, does the value of r imply that y should tend to increase or decrease? Explain. Given our value of r, we cannot draw any conclusions for the behavior of y as x increases. Given our value of r, y should tend to…
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You wish to determine if there is a linear correlation between the age of a driver and the number of driver deaths. The following table represents the age of a driver and the number of driver deaths per 100,000. Use a significance level of 0.01 and round all values to 4 decimal places. Driver Age 65 69 48 37 49 27 62 64 Ho: p = 0 Ha: p = 0 r= Find the p-value p-value= Number of Driver Deaths per 100,000 22 22 34 Find the Linear Correlation Coefficient The p-value is Greater than a Less than (or equal to) a 23 28 20 The p-value leads to a decision to O Do Not Reject Ho O Accept Ho O Reject Ho 33 33 The conclusion is O There is a significant negative linear correlation between driver age and number of driver deaths. There is a significant linear correlation between driver age and number of driver deaths. O There is insufficient evidence to make a conclusion about the linear correlation between driver age and number of driver deaths. O There is a significant positive linear correlation…

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