The data below shows the selling price (in hundred thousand) and the list price (in a hundred thousand) of homes sold. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using alphaαequals=0.05
Is there sufficient evidence to conclude that there is a linear correlation between the twovariables?
Selling Price (x) |
400400 |
305305 |
376376 |
433433 |
455455 |
477477 |
315315 |
355355 |
416416 |
331331 |
|
---|---|---|---|---|---|---|---|---|---|---|---|
List Price (y) |
414414 |
317317 |
385385 |
440440 |
489489 |
479479 |
325325 |
367367 |
433433 |
342342 |
What are the null and alternative hypotheses?
A. H0: rhoρequals=0 H1: rhoρgreater than>0
B. H0: rhoρequals=0 H1: rhoρnot equals≠0
C. H0: rhoρnot equals≠0 H1: rhoρequals=0
D. H0: rhoρequals=0 H1: rhoρless than<0
Construct a scatterplot. Choose the correct graph below.
A. A scatterplot has a horizontal x-scale from 300 to 500 in intervals of 20 and a vertical y-scale from 300 to 500 in intervals of 20. Ten points are plotted with approximate coordinates as follows: (305, 315); (315, 325); (330, 340); (355, 365); (375, 385); (400, 415); (415, 435); (435, 440); (455, 490); (475, 480).
B. A scatterplot has a horizontal x-scale from 300 to 500 in intervals of 20 and a vertical y-scale from 300 to 500 in intervals of 20. Eleven points are plotted with approximate coordinates as follows: (305, 485); (330, 340); (350, 465); (360, 405); (390, 400); (400, 475); (410, 375); (415, 435); (430, 355); (430, 400); (455, 460).
C. A scatterplot has a horizontal x-scale from 300 to 500 in intervals of 20 and a vertical y-scale from 300 to 500 in intervals of 20. Ten points are plotted with approximate coordinates as follows: (305, 330); (315, 370); (355, 415); (365, 350); (410, 450); (415, 380); (420, 425); (465, 485); (470, 405); (470, 455).
D. It won't let me copy and paste it but it is going down from the top left to the bottom right of the graph
The linear correlation coefficient r is:
(Round to three decimal places as needed.)
The test statistic t is:
(Round to three decimal places as needed.)
The P-value is:
(Round to three decimal places as needed.)
Because the P-value is (less/ greater) than the significance level 0.05, there (is not/ is) sufficient evidence to support the claim that there is a linear correlation between selling price (in hundred thousand) and the list price (in hundred thousand) of homes sold for a significance level of alphaαequals=0.05
The statistical software output for this problem is:
Hence,
Hypotheses: H0: ρ=0 H1: ρ≠0
Option B is correct.
Scatterplot: Option A is correct.
r = 0.991
t = 20.709
P = 0.000
Less; is
The data below shows the selling price (in hundred thousand) and the list price (in a...
The data below shows the selling price (in hundred thousands) and the list price (in hundred thousands) of homes sold. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using alphaαequals=0.05 Is there sufficient evidence to conclude that there is a linear correlation between the two variables? Selling price (x): 404, 304, 379, 432, 456, 478, 318, 354, 415, 330, List price (y): 414, 316, 387, 439, 487, 476, 320, 370, 430, 431...
Listed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using alphaαequals=0.050.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? Do the results suggest that imported lemons cause car fatalities? Lemon Imports 228228 266266 357357 483483 532532 Crash...
Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r using alphaαequals=0.010.01. Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals? Overhead Width 7.17.1 7.77.7 9.69.6 9.49.4 8.88.8 8.18.1 Weight 112112 197197 241241 205205...
The data below shows the selling price in hundred thousands) and the list price in hundred thousands) of homes sold. A StatDisk output yields the following screen. Degrees of freedom Korrelation Results Korrelation coeff, F: 0.9916979 Critical ri 0.6118972 P-value (two-tailed): 0.000 Regression Results Jy bo bi Y Intercept, b01 0.9156039 slope, bit 1.025779 Total Variations 34791.6 Explained variation 34216.31 Unexplained Variation: 575.2891 Standard Error! 8.480043 Coeff of Bet, RA2: 0.9834647 What is the regression equation? y = 0.916 +...
partial credit, 10.1.23 Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r using alpha equals0.05 . Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals? Overhead Width 7.0 7.7 9.8 9.3 8.7 8.2...
I'm stuck on my final question Test 03 The dta below shows the Selling pncesex (in hundredbe, thousands) and the ist preele' (in turoedw, thosads) of homes sat Construct ade, scatterplot, find the value of the linear correlation coefficientae r, and find theE P-value using a 005 Is there sufficient evidence to conclude that there is a linear correlation between the twodt: varables? Selling Price () 400 301 380 433 45 478 320 355 416 330 t Prie ly 410...
Following are age and price data for 8 randomly selected ambulances between 1 and 6 years old. Here, x denotes age, in years, and y denotes price, in hundreds of dollars. Use the information to complete parts (a) through (f). x 6 1 6 2 6 2 4 5 y 280 410 255 350 250 370 335 300 a. Find the regression equation for the data points. ModifyingAbove y with caretyequals=nothingplus+nothingx (Round to two decimal places as needed.) b....
Sale Price List Price Days to Sell Gulf View 475 495 130 1 350 379 71 1 519 529 85 1 534.5 552.5 95 1 334.9 334.9 119 1 505 550 92 1 165 169.9 197 1 210 210 56 1 945 975 73 1 314 314 126 1 305 315 88 1 800 885 282 1 975 975 100 1 445 469 56 1 305 329 49 1 330 365 48 1 312 332 88 1 495 520 161...
The table below shows some of the expenditure amounts in the economy of Arkinia. The MPC, the MTR, and the MPM are all constant, as are the values of the three injections. a. Complete the table below. Y T YD C S I G X IM XN AE 0 50 180 50 100 60 -5 50 180 50 30 200 60 130 10 50 180 50 300 80 195 50 180 50 40 400 100 40 50 180 50 50...
#8. 10.1 Listed below are the overhead widths (in cm) of seals measured from photographs and the weights (in kg) of the seals. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the critical values of r using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between overhead widths of seals from photographs and the weights of the seals? Overhead Width 7.0 7.5 9.7 8.8 8.4 Weight 106...