A scatterplot is created from a set of data. The scatterplot suggests that an exponential model would best fit the data. The data is linearized and the equation of the best-fit line for the linearized graph is: y = 1.236x – 2.791 Use this equation to predict the y-value for the original data when x = 5. I would really appreciate the steps to solving this problem.

Biologists have observed that the chirping rate of a certain species of cricket is modeled by the linear equation. Temp is 60 degrees t=5/24 n+45

One article shows a relationship between per capita health care spending h, in thousands of U.S. dollars per person per year, and life expectancy E, in years. The following formula is adapted from that article: E = 72.23 + 3.85h - 0.37h². We should point out that this article includes no justification for the type of model used. (a) Plot the graph of E versus h. Include spending levels from $1000 to $9000 per person per year (so a horizontal span of 1 to 9). E E 85 85 80 O 75 E 85 80 75 2 2 4 4 10 years 6 6 8 8 thousand dollars per person per year 2 80 75 O E 85 80 75 2 2 4 4 6 8 8 h (b) According to this model, what health care expenditure corresponds to maximum longevity? Round your answer in thousands of dollars per person per year to two decimal places. h (c) What optimum life expectancy is given by this model? (For comparison, in 2011, in the United States, per capita health care spending was $8745 and life expectancy was 78.7 years.)

if the equation of the line of best fit is y=3.87x+15.52 for an increase of one hour in the time spent studying what is the predicted increase in the midterm score