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what is it? how does it work? when given a table of values, follow the …

Question

what is it?

how does it work? when given a table of values, follow the steps below:

to enter the table of values:

  • hit stat, then enter
  • enter x - values into ( l_1 ) column
  • enter y - values into ( l_2 ) column

to find the line of best fit:

  • hit stat
  • arrow over to calc
  • select #4, linreg (ax + b)
  • hit enter

examples:

  1. the information in the table below shows average temperature in northern latitudes:
latitude (( n^circ ))01020304050607080

a. find the line of best fit.

b. estimate the average temperature for a city with a latitude of ( 25^circ )

  1. the information in the table shows the olympic 500 - meter men’s gold medal speed skating times since 1980.
yeartime (s)
1984432
1988404
1992420
1994395
1998382

a. find the line of best fit.

b. estimate the 500 - meter time for the 2012 olympics.

  1. the information in the table shows sales for a certain retail department store (in billions of dollars)
year19801985199019941995199619971998

a. find the line of best fit.

b. estimate the store sales for the year 2008.

Explanation:

Response
Problem 1a: Find the line of best fit for Latitude vs Temperature

Step1: Enter data into calculator

Enter \( x \)-values (Latitude: \( 0, 10, 20, 30, 40, 50, 60, 70, 80 \)) into \( L_1 \) and \( y \)-values (Temp: \( 79.2, 80.1, 77.5, 68.7, 57.4, 42.4, 30.0, 12.7, 1.0 \)) into \( L_2 \).

Step2: Calculate linear regression

Use LinReg (\( ax + b \)) function. The calculator gives \( a \approx -0.906 \), \( b \approx 79.8 \). So the line of best fit is \( y = -0.906x + 79.8 \).

Step1: Substitute \( x = 25 \) into the line of best fit

Use \( y = -0.906(25) + 79.8 \).

Step2: Calculate the value

\( -0.906 \times 25 = -22.65 \), then \( -22.65 + 79.8 = 57.15 \).

Step1: Enter data into calculator

Let \( x \) be years since 1980 (so \( x: 0, 4, 8, 12, 14, 18 \)) and \( y \)-values (Time: \( 422, 432, 404, 420, 395, 382 \)) into \( L_2 \).

Step2: Calculate linear regression

LinReg gives \( a \approx -2.34 \), \( b \approx 423.5 \). So the line is \( y = -2.34x + 423.5 \) (where \( x \) is years since 1980).

Answer:

\( y = -0.906x + 79.8 \) (approximate, values may vary slightly with calculator precision)

Problem 1b: Estimate temperature at \( 25^\circ \) latitude