The number of units produced increases from 2 to 452 as the number of factory workers increases from 0 to 90, which gives;
Part A:
Part B:
Part C:
Part A:
The correlation is the relationship between variables based on statistical data.
From the given table, the difference between consecutive terms of the x and y-values are constant, therefore as the x-values increases, the corresponding y-value increases.
Change in x-values, ∆x = 10 - 0 = 20 - 10 = 30 - 20 = 10
Change in y-values, ∆y = 52 - 2 = 102 - 52 = 152 - 102 = 50
Therefore;
Part B:
Given that the rate of change of the x-values is constant, and the rate of change of the y-values is a constant, the function relating the x and y-values is a linear function, which can be found as follows;
Slope of the equation, m = ∆y/∆x
Which gives;
m = 50/10 = 5
y - 2 = 5•(x - 0)
The function that best fits the data is therefore;
Part C:
The slope of the function is the coefficient of the variable x in the equation, y = m•x + c
The y-intercept of the function is the value of the constant term, c, in the equation, y = m•x + c
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