10. Please answer

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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10. Please answer

A Lot Size and Value data
- X
Lot Size Value
Lot Size
Value
(x)
2.37
(y)
(x)
(y)
387
2.58
327
2.09
353
2.02
326
2.21
581
2.05
387
2.21
258
2.09
471
2.10
647
2.32
680
2.06
288
2.02
313
2.03
278
2.90
641
2.44
747
2.20
294
2.14
541
2.03
558
2.63
340
2.00
525
2.02
399
2.01
585
2.09
391
2.63
2.95
2.08
495
2.98
442
707
2.05
605
385
2.17
384
2.28
305
2.18
346
2.09
490
2.13
217
2.61
465
2.18
360
3.08
427
2.56
688
2.47
420
2.00
494
2.11
299
2.40
576
3.62
2.28
370
2.47
313
586
Print
Done
Transcribed Image Text:A Lot Size and Value data - X Lot Size Value Lot Size Value (x) 2.37 (y) (x) (y) 387 2.58 327 2.09 353 2.02 326 2.21 581 2.05 387 2.21 258 2.09 471 2.10 647 2.32 680 2.06 288 2.02 313 2.03 278 2.90 641 2.44 747 2.20 294 2.14 541 2.03 558 2.63 340 2.00 525 2.02 399 2.01 585 2.09 391 2.63 2.95 2.08 495 2.98 442 707 2.05 605 385 2.17 384 2.28 305 2.18 346 2.09 490 2.13 217 2.61 465 2.18 360 3.08 427 2.56 688 2.47 420 2.00 494 2.11 299 2.40 576 3.62 2.28 370 2.47 313 586 Print Done
The accompanying data gives the lot size (in acres) and assessed value (in thousands of dollars) for a sample of homes in an area.
a. Decide whether use of the linear correlation coefficient as a descriptive measure for the data is appropriate.
b. If appropriate, obtain the linear correlation coefficient.
c. If appropriate, interpret the value of r in terms of the linear relationship between the two variables.
Click the icon to view the Lot Size and Value data.
a. The linear correlation coefficient as a descriptive measure for the data
appropriate because
b. Select the correct choice and, if necessary, fill in the answer box to complete your choice.
the data points do not appear to be scattered about a line.
O A. The linear correlation coefficient is
the data points appear to be scattered about a line.
(Round to three decimal places as needed.)
the data points do not appear to be scattered about a curve.
O B. The linear correlation coefficient as a descriptive measure for the data is not appropriate.
the data points appear to be scattered about a curve.
c. Choose the correct answer below.
A. There appears to be a strong negative linear association between the two variables.
B. There appears to be a weak positive linear association between the two variables.
C. There appears to be a weak negative linear association between the two variables.
D. There appears to be a strong positive linear association between the two variables.
O E. The linear correlation coefficient as a descriptive measure for the data is not appropriate.
Transcribed Image Text:The accompanying data gives the lot size (in acres) and assessed value (in thousands of dollars) for a sample of homes in an area. a. Decide whether use of the linear correlation coefficient as a descriptive measure for the data is appropriate. b. If appropriate, obtain the linear correlation coefficient. c. If appropriate, interpret the value of r in terms of the linear relationship between the two variables. Click the icon to view the Lot Size and Value data. a. The linear correlation coefficient as a descriptive measure for the data appropriate because b. Select the correct choice and, if necessary, fill in the answer box to complete your choice. the data points do not appear to be scattered about a line. O A. The linear correlation coefficient is the data points appear to be scattered about a line. (Round to three decimal places as needed.) the data points do not appear to be scattered about a curve. O B. The linear correlation coefficient as a descriptive measure for the data is not appropriate. the data points appear to be scattered about a curve. c. Choose the correct answer below. A. There appears to be a strong negative linear association between the two variables. B. There appears to be a weak positive linear association between the two variables. C. There appears to be a weak negative linear association between the two variables. D. There appears to be a strong positive linear association between the two variables. O E. The linear correlation coefficient as a descriptive measure for the data is not appropriate.
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