The following table shows the length, in centimeters, of the humerus and the total wingspan, in centimeters, of several pterosaurs, which are extinct flying reptiles. (A grarecommended.)Pterosaur DataHumerus, x Wingspan, y Humerus, x Wingspan, y24322217134.43.21.56107504403802706953242027151594.42.95105703103002405451(a) Find the equation of the least-squares regression line for the data. (Where x is the independent variable.) Round constants to the nearest hundredth.9-(b) Use the equation from part (a) to determine, to the nearest centimeter, the projected wingspan of a pterosaur if its humerus is 52 centimeters.cm

The question is about regression.Given :To find :a ) least square regression equationb ) The…

Answered: The following table shows the length,…

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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You measure the length of 11 bullfrogs (Lithobates (=Rana) catesbeiana), and then measure how for each frog can jump. You get the following results (size in mm, jump distance in cm). Size 155 127 136 135 158 145 136 172 158 162 162 Distance 71.0 70.0 100.0 120.0 103.3 116.0 109.2 105.0 112.5 114.0 122.9 You find the following results: SSx = 2,094.55 SSy = 3,218.99 SScp = 731.36 n = 11 ¯y = 103.99 ¯x = 149.64 SSresid = 2,963.61 a) Give the equation of the least squares line. b) Give both the test statistic and the table value. Make sure you give H0, H1, α, etc. and state your conclusion. c) Make a scatterplot of these data and fit the least squares line. d) Make a residual plot of these data and comment on it. e) Calculate R 2 and explain. Is R 2 even appropriate here (what is your answer to (b)?)
The height of bedridden patients is often estimated from the length of the patient's ulna, the distance between the point on the elbow and the prominent bone on the wrist. Eight men over the age of 65 had both their height (in centimeters) and the length of their ulna (in centimeters) measured. The data are given in the table below. Ulna length (cm) 20 23 24 26 27 29 30 31 Height (cm) 160 163 166 168 171 178 182 186 Let x denote a patient's ulna length (in cm) and y denote the patient's height (in cm). Assume that the population distributions for both ulna length and height are approximately normal. The following summary measures were obtained from the data. X = 26.25, ỹ = 171.75, SSxx = 99.5, SSyy= 609.5, SSxy= 238.5 ху We wish to find the least squares regression line for the data in this table using ulna length as an independent variable and height as a dependent variable. Estimate the y-intercept of the least squares regression line. Enter your answer using three decimal places.
Illustration 21.5. Can there be inconsistency in the data given below: N=100, (A)=40, (AB)=38, (AC)=35, (B)= 39 and (BC)=37.
In the 2014-2015 academic year, many public universities in the United States raised tuition and fees due to a decrease in state subsidies. The change in the cost of tuition, a shared dormitory room, and the most popular meal plan from the 2014- 2015 academic year for a sample of 10 public universities were as follows: $1589, $593, $1223, $869, $423, $1720, $708, $1425, $922 and $308. Run the descriptive statistic measures for this data set and interpret the results for the following concepts:
The perimeter of a rectangle is 54cm. It’s length is 14cm. Find its breadth.
Please answer all these questions and label, data included: Size($) Rent(sq.feet) 850 1950 1450 2600 1085 2200 1232 2500 718 1950 1485 2700 1136 2650 726 1935 700 1875 956 2150 1100 2400 1285 2650 1985 3300 1369 2800 1175 2400 1225 2450 1245 2100 1259 2700 1150 2200 896 2150 1361 2600 1040 2650 755 2200 1000 1800 1200 2750 10. Based on all of the above questions, what will you conclude about the relationship between house size and rent price? 11. Construct a 95% confidence interval estimate of the population slope, β1. 12. Construct a 95% confidence estimate of the mean renting cost of a house that is 2000 square feet. 13. Construct a 95% prediction interval of the renting cost of an individual house that is 2000 square feet.
Do not forget labels
Please answer questions 8 and 9 fully, data included: Size($) Rent(sq.feet) 850 1950 1450 2600 1085 2200 1232 2500 718 1950 1485 2700 1136 2650 726 1935 700 1875 956 2150 1100 2400 1285 2650 1985 3300 1369 2800 1175 2400 1225 2450 1245 2100 1259 2700 1150 2200 896 2150 1361 2600 1040 2650 755 2200 1000 1800 1200 2750 A real estate agent wishes to examine the relationship between the selling price of a home (measured in thousands of dollars) and its size (measured in square feet). In particular she wants to assess if the size of the home can accurately predict the house’s selling price.
An agent for a property management company would like to be able to predict the monthly rental cost for apartments based on the size of the apartment as defined by square footage. A sample of the rent of 25 apartments in a college rental neighborhood was selected, and the information collected revealed the following: Apartment Size (Sq. Ft.) Monthly Rent ($) 1 850 950 2 1,450 1,600 3 1,085 1,200 4 1,232 1,500 5 718 950 6 1,485 1,700 7 1,136 1,650 8 726 935 9 700 875 10 956 1,150 11 1,100 1,400 12 1,285 1,650 13 1,985 2,300 14 1,369 1,800 15 1,175 1,400 16 1,225 1,450 17 1,245 1,100 18 1,259 1,700 19 1,150 1,200 20 896 1,150 21 1,361 1,600 22 1,040 1,650 23 755 1,200 24 1,000 800 25 1,200 1,750 i) Determine a 95% interval estimate for the average rent of apartments with 1000…
sleth the regcon r=2 cuso -1
How long does it take to finish the 1161-mile Iditarod Dog Sled Race from Anchorage to Nome, Alaska? Finish times (to the nearest hour) for 57 dogsled teams are shown below. 261 271 236 244 279 296 284 299 288 288 247 256 338 360 341 333 261 266 287 296 313 311 307 307 299 303 277 283 304 305 288 290 288 289 297 299 332 330 309 328 307 328 285 291 295 298 306 315 310 318 318 320 333 321 323 324 327 USE SALT For this problem, use five classes. (a) Find the class width. 25 236 261 286 311 336 (b) Make a frequency table showing class limits, class boundaries, midpoints, frequencies, relative frequencies, and cumulative frequencies. (Round your relative frequencies to two decimal places.) Class Limits Class Boundaries Midpoint Frequency I I I - 260 285 310 335 360 - Relative Cumulative Frequency Frequency
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