You need to interpolate the Y data at X= -17 and X=13 using the data table below. X -25 -3 7 25 Y 577.9 -2.3 -19.1 -599.9 a. Use Linear Lagrange to interpolate (choose the 2 most appropriate data points for each X) b. Use 2nd order polynomial Lagrange (choose the 3 most appropriate data points for each X) c. The equation that was used to generate the data above actually calculates the (X,Y) of (-17, 180.7) and (13, -90.9). Which calculation was closer to the real answers? Linear Lagrange? Or 2nd order polynomial Lagrange? Why do you think this happened?

A biology student is investigating the claim that the temperature can be predicted by counting cricket chirps. She has found a linear regression equation T=42.2+0.21r, where T is the temperature in degrees Fahrenheit and r is the number of chirps per minute. What is the predicted temperature for 90 chirps per minute?   18.9 degrees 227.6 degrees 23.3 degrees 61.1 degrees

Determine the slope of the linear function and its vertical and horizontal intercepts. The line passing through (2,9) and (5,4) Slope Vertical and Horizontal Intercepts 3x – Зх — 8у 3D 14 - Slope Vertical and Horizontal Intercepts

This was not the correct quadratic model for the data

Let f(x)f(x) be the height of a maple tree in inches and xx the number of years since 2000. A linear model for the data is f(x)=9.44x+84.182f(x)=9.44x+84.182.A) To the nearest inch, estimate the height of the maple tree in 2011.  __?__   inchesB) Use the equation to find the year in which the tree will be 235 inches tall. __?__

Let �(�) be the height of a maple tree in inches and � the number of years since 2000. A linear model for the data is �(�)=9.44�+84.182.36912155060708090100110120130140150160170180190200210220A) To the nearest inch, estimate the height of the maple tree in 2012.  inchesB) Use the equation to find the year in which the tree will be 249 inches tall.

Range of ankle motion is a contributing factor to falls among the elderly. Suppose a team of researchers is studying how compression hosiery, typical shoes, and medical shoes affect range of ankle motion. In particular, note the variables Barefoot and Footwear2. Barefoot represents a subject's range of ankle motion (in degrees) while barefoot, and Footwear2 represents their range of ankle motion (in degrees) while wearing medical shoes. Use this data and your preferred software to calculate the equation of the least-squares linear regression line to predict a subject's range of ankle motion while wearing medical shoes, ?̂ , based on their range of ankle motion while barefoot, ? . Round your coefficients to two decimal places of precision. ?̂  = A physical therapist determines that her patient Jan has a range of ankle motion of 7.26°7.26° while barefoot. Predict Jan's range of ankle motion while wearing medical shoes, ?̂ . Round your answer to two decimal places. ?̂ = Suppose Jan's…

Find the value of x if a linear function goes through the following points and has the following slope: (x, 2), (−4, 6), m = 3.

Jane collects data from 40 elementary school students and finds that the relationship between age (x) and score on a certain test (y) is given by y=3.2x+45. What can she extrapolate about the score a 16-year old will get on the test?

Suppose that the number of tee shirts sold (N) depends linearly on the price charged (x). Write an equation showing this dependence.