The manager of a salmon cannery suspects that the demand for her product is closely related to the disposable income of her target region. To test out this hypothesis she collected the following data for five different target regions, where x represents the annual disposable income for a region in millions of dollars and y represents sales volume in thousands of cases. y I 4. 10 1 20 3 3. 40 4. 50 30 1 10 30 40 50 (a) Draw the scatter graph of this set of data. (h) Compute the correlation coefficient r. (c) Find and graph the least square line. 20

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that contains at least 75% of the scores in
хаm.
9. The manager of a salmon cannery suspects that the demand for her product is closely related to the
disposable income of her target region. To test out this hypothesis she collected the following data for
five different target regions, where x represents the annual disposable income for a region in millions of
dollars and y represents sales volume in thousands of cases.
y
10
1
20
3
40
4.
50
30
1
+
+
► x
10
20
40
(a) Draw the scatter graph of this set of data.
(h) Compute the correlation coefficient r.
(c) Find and graph the least square line.
(d) If a region has disposable annual income $25, 000, 000 what is the predicted sales volume?
50
30
4.
3
2.
Transcribed Image Text:that contains at least 75% of the scores in хаm. 9. The manager of a salmon cannery suspects that the demand for her product is closely related to the disposable income of her target region. To test out this hypothesis she collected the following data for five different target regions, where x represents the annual disposable income for a region in millions of dollars and y represents sales volume in thousands of cases. y 10 1 20 3 40 4. 50 30 1 + + ► x 10 20 40 (a) Draw the scatter graph of this set of data. (h) Compute the correlation coefficient r. (c) Find and graph the least square line. (d) If a region has disposable annual income $25, 000, 000 what is the predicted sales volume? 50 30 4. 3 2.
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