Break-Even Analysis The table below contains price-demand and total cost data for the production of treadmills, where p is the wholesale price (in dollars) of a treadmill for an annual demand of a treadmills, and C is the total cost (in dollars) of producing treadmills. P ($) 1,450 1,275 1,123 918 x 2,910 3,415 4,645 5,330 C ($) 3,634,000 3,782,000 4,185,000 4,290,000 Use this data to find a linear regression equation for price-demand data, using as the independent variable: p = ax + b where a is rounded to 1 decimal place and b is rounded to the nearest integer. Use this data to find a linear regression model for the cost data, using as the independent variable: C(x) = cx + d. where c is rounded to the nearest integer and d is rounded to the nearest 10,000.

Please solve for A or B and the missing values.

The table below shows the number of state-registered automatic weapons and the murder rate for several Northwestern states. 11.8 8.5 7 3.3 2.5 2.8 2.2 0.6 14.2 11.6 10.3 7.1 6.4 6.7 6.2 4.8 thousands of automatic weapons = murders per 100,000 residents This data can be modeled by the linear equation ŷ = 0.84x + 4.33 a. How many murders per 100,000 residents can be expected in a state with 9.1 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents b. How many murders per 100,000 residents can be expected in a state with 4.3 thousand automatic weapons? Round to 3 decimal places. murders per 100,000 residents

Q14. The slope for an independent variable X predicts where the regression line crosses the Y (dependent) axis. a. TrueB. FalseC. None of the above

Use table and picture to solve!!! Thank you so much 

Show your work please.

Calculate the least square regression equation for the data. Include the slope and y intercept. Round to the nearest hundredth.

find the equation of the regression line. Round to 3 decimal places.

The scatterplot below shows Olympic gold medal performances in the long jump from 1900 to 1988. The long jump is measured in meters. Use the regression line to predict the average predicted long jump distance in 1950. A. The average predicted long jump distance in 1950 is 7.94 meters. B. The average predicted long jump distance in 1950 is 362.7 meters. C. The average predicted long jump distance in 1950 is 3,054 meters. D. The average predicted long jump distance in 1950 is 6.893 meters.

The table shows the approximate chirping rate at various temperatures for one type of cricket. Use the linear regression feature on a graphing calculator to determine an equation of the line that best fits the data. Round to the hundredths. ⒸEncikAn/Shutterstock.com X Temperature (°F) 50 60 70 80 100 Chirps per Minute 20 80 115 150 250