The table to the right shows the marriage and divorce rates per 1,000 population for selected years since 1960. Complete parts (A) and (B) below. Marriages and Divorces (per 1,000 population) Date Marriages Divorces 1960 8.9 2.2 1970 11.1 3.5 1980 10.5 5.2 1990 10.1 4.7 2000 8.4 4.1 2010 6.8 3.6 (A) Let x represent the number of years since 1960 and find a cubic regression polynomial for the marriage rate. y= = 0׳ + 0x² + 0×+ O (Round to six decimal places as needed.)

MATLAB: An Introduction with Applications
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1.4

(A) Let x represent the number of years since 1960 and find a cubic regression polynomial for the marriage rate.

(B) Use the polynomial model from part (A) to estimate the marriage rate (to one decimal place) for 2025 .

The table to the right shows the marriage and divorce rates per 1,000 population for
selected years since 1960. Complete parts (A) and (B) below.
Marriages and Divorces
(per 1,000 population)
Date Marriages Divorces
1960 8.9
2.2
1970
11.1
3.5
1980
10.5
5.2
1990
10.1
4.7
2000
8.4
4.1
2010 6.8
3.6
(A) Let x represent the number of years since 1960 and find a cubic regression polynomial for the marriage rate.
3
y = (x³ + () x² + x +
(Round to six decimal places as needed.)
Transcribed Image Text:The table to the right shows the marriage and divorce rates per 1,000 population for selected years since 1960. Complete parts (A) and (B) below. Marriages and Divorces (per 1,000 population) Date Marriages Divorces 1960 8.9 2.2 1970 11.1 3.5 1980 10.5 5.2 1990 10.1 4.7 2000 8.4 4.1 2010 6.8 3.6 (A) Let x represent the number of years since 1960 and find a cubic regression polynomial for the marriage rate. 3 y = (x³ + () x² + x + (Round to six decimal places as needed.)
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