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Price 2.00 2.50 3.00 2.00 2.50 3.00 2.00 2.50 3.00 2.50 3.00 3.50 3.50 4.00 4.00 3.50 4.00 4.00 3.00 3.00 2.50 2.00 2.50 3.00 Sales (1000s) 478 373 335 473 358 329 456 360 322 437 365 342 410 553 445 332 641 372 800 620 390 790 670 393

Price 2.00 2.50 3.00 2.00 2.50 3.00 2.00 2.50 3.00 2.50 3.00 3.50 3.50 4.00 4.00 3.50 4.00 4.00 3.00 3.00 2.50 2.00 2.50 3.00 Sales (1000s) 478 373 335 473 358 329 456 360 322 437 365 342 410 553 445 332 641 372 800 620 390 790 670 393

Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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HW 2 and the question are attached

Price 2.00 2.50 3.00 2.00 2.50 3.00 2.00 2.50 3.00 2.50 3.00 3.50 3.50 4.00 4.00 3.50 4.00 4.00 3.00 3.00 2.50 2.00 2.50 3.00 Sales (1000s) 478 373 335 473 358 329 456 360 322 437 365 342 410 553 445 332 641 372 800 620 390 790 670 393
Transcribed Image Text:Price 2.00 2.50 3.00 2.00 2.50 3.00 2.00 2.50 3.00 2.50 3.00 3.50 3.50 4.00 4.00 3.50 4.00 4.00 3.00 3.00 2.50 2.00 2.50 3.00 Sales (1000s) 478 373 335 473 358 329 456 360 322 437 365 342 410 553 445 332 641 372 800 620 390 790 670 393
Download HW 2 and generate a simple linear regression solution such that Price predicts Sales. What is the value of the regression line's intercept (keep one decimal place)?
Transcribed Image Text:Download HW 2 and generate a simple linear regression solution such that Price predicts Sales. What is the value of the regression line's intercept (keep one decimal place)?
Expert Solution
Step 1

The given data,

Price Sales

2.0

2.5

3.0

2.0

2.5

3.0

2.0

2.5

3.0

2.5

3.0

3.5

3.5

4.0

4.0

3.5

4.0

4.0

3.0

3.0

2.5

2.0

2.5

3.0

478

373

335

473

358

329

456

360

322

437

365

342

410

553

445

332

641

372

800

620

390

790

670

393

We have to find the simple linear regression for the

steps

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