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Bezzdna [24]
2 years ago
5

3

Mathematics
1 answer:
GuDViN [60]2 years ago
5 0

Using linear regression, the line of best fit for the ice cream sales in function of the daily temperature is given by:

y = 6.5x - 279.1.

Linear regression:

Linear regression defines  the straight line, called the least-squares regression line or LSRL, that best expresses observations in a bivariate analysis of data set.

The general form is,

Y = B0+B1X.

where

Y is a dependent variable,

X is an independent variable

Give,

From the table presented in the problem, we have identified the points are:

(58.2, 112), (64.2, 135), (64.3, 138), (66.8, 146), (68.4, 166), (71.6, 180), (72.7, 188), (76.2, 199), (77.8, 220), (82.8, 280).

When we inserting these points into the calculator, we have get the graph like the following:

When we analysis the graph, we get the following values,

Best-fit values

Slope = 6.479 ± 0.5253

Y-intercept = -279.1 ± 37.11

X-intercept = 43.07

1/Slope = 0.1543

Through these values we have identified the line of best fit for the ice cream sales in function of the daily temperature is given by:

y = 6.5x - 279.1.

In which:

x is the daily temperature, in F.

y is the sales, in dollars.

To know more about Linear regression here.

brainly.com/question/14313391

#SPJ1

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Given one to one f(6)=3, f'(6)=5, find tangent line to y=f⁻¹(x) at (3,6)

OK, we know

f⁻¹(3)=6

The inverse function is the reflection in y=x.  So slopes, i.e. the derivative will be the reciprocal.  We know the derivative of f at 6 is 5, so the derivative of f⁻¹  at y=6 is 1/5, which corresponds to x=3.

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That slope through (3,6) is the tangent line we seek:

y - 6 = (1/5) (x-3)

That's the tangent line.

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