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anonymous
 5 years ago
The table below shows the number of doctors in Bingham City from 1960 to 1986.
Year (x) 1960 1967 1970 1975 1982 1985 1986
Number of Doctors (y) 2,937 3,511 3,754 4,173 4,741 5,019 5,102
If a linear regression model is fit to this data, which equation would best represent the data? (Let x = the number of years after 1960)
y = 1.01x  3,500
y = 82x + 2,937
y = 83x + 2,929
y = 83x + 2,944
anonymous
 5 years ago
The table below shows the number of doctors in Bingham City from 1960 to 1986. Year (x) 1960 1967 1970 1975 1982 1985 1986 Number of Doctors (y) 2,937 3,511 3,754 4,173 4,741 5,019 5,102 If a linear regression model is fit to this data, which equation would best represent the data? (Let x = the number of years after 1960) y = 1.01x  3,500 y = 82x + 2,937 y = 83x + 2,929 y = 83x + 2,944

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amistre64
 5 years ago
Best ResponseYou've already chosen the best response.1c or d is my best guess....

amistre64
 5 years ago
Best ResponseYou've already chosen the best response.1b looks promising; but you prolly want a best fit data line
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