Casio STAT 2 Manual de usuario descargar pdf (Pagina 7)

Practice using your calculator for Linear Regression

1 (2001 Second Semester)

A candy manufacturer wants to estimate the effect of price on sales. Six randomly selected

stores sold the candy at different prices. The prices and sales are shown in the table below.

Store

Price

Sales

$1.30

100

$1.60

$1.80

$2.00

$2.40

$2.90

(a) Calculate the linear regression coefficients b

and b

(b) Interpret the linear equation. (c) Find sales if price is $2.40

Solution:

(a)

19.48,39.161

 bb

. (b)

pricesalesEstimated  19.4839.161

700,30268,390,66.25,12

 xyyyxx

2 (2003 First Semester)

(Remember to clear the previous data before starting.)

A local charity runs a regular appeal for funds. They believe that the amount raised is

determined largely by the number of collectors and want to predict the amount that will be

raised in their next appeal. The data from the last five appeals is as follows:

Number of collectors

$ Amount raised

5,750

7,402

7,850

8,135

8,320

Calculate the linear regression coefficients b

and b

for this data.

Interpret the linear equation.

Solution:

15.56,12.4605

 bb

XY 15.5612.4605



That is

collectorsnoamountEstimated .15.5612.4605 

1985329,284875229,37457,14279,257

 xyyyxx

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Casio STAT 2 Manual de usuario Pagina 7

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