Below are given the annual production figures (in thousand tonnes) of a fertiliser factory: Year 2011 2012 2013 2014 2015 2016 2017 Production: 70 75 90 91 95 98 100 () Fit a straight line trend by the method of least squares and tabulate the trend values. (i) Convert your annual trend equation into a monthly trend equation.

The table contains price-supply data and   price-demand data for corn. Find a linear regression model for the price-supply data where x is supply​ (in billions of​ bushels) and y is price​ (in dollars). Do the same for the price-demand data. Find the equilibrium price for corn.   Price ($/bu) Supply (billion bu) Price ($/bu) Demand (billion bu) 2.14 6.41 2.06 9.96 2.25 7.38 2.15 9.42 2.34 7.51 2.26 8.33 2.41 7.78 2.32 8.08 2.46 8.13 2.36 7.86 2.57 8.35 2.48 6.96   ...   Question content area right Part 1 Find a linear regression model for the price-supply data where x is supply​ (in billions of​bushels) and y is price​ (in dollars).   y=enter your response here ​(Type an equation using x as the variable. Round to two decimal places as​ needed.)

The following time series shows the sales of supermarket chain over the last six months.  Month Sales ($ 000) August 2021 250 Sep 2021 280 Oct 2021 295 Nov 2021 320 Dec 2021 380 Jan 2022 360   Develop a linear trend equation that can be used to forecast sales in Feb 2022. Forecast the sales in Feb 2021 using a three-period weighted moving average designed with the following weights: Nov 2021 weight 0.6, Dec 2021 weight 0.3 and Jan 2022 weight 0.1. Which method (A or B) is the best? Explain why.

The scatter plot shows the relationship between the number of minutes studying for a test (x) and the Score earned (y). Make a scatterplot for the data. Time Studying (x) 40 50 60 70 80 90 100 110 Score (y) 2 3 6 7 9. +H+ 10 6. -7- 4 3 1- 10, 10 20 30 40 50 60 70 80 90 100 110 12 7:04 PM Desktop 12/8/2026

The amount of time adults spend watching television is closely monitored by firms because this helps to determine advertising pricing for commercials. Complete parts (a) through (d). C (a) Do you think the variable "weekly time spent watching television" would be normally distributed? If not, what shape would you expect the variable to have? A. The variable "weekly time spent watching television" is likely skewed right, not normally distributed. O B. The variable "weekly time spent watching television" is likely symmetric, but not normally distributed. O C. The variable "weekly time spent watching television" is likely skewed left, not normally distributed. O D. The variable "weekly time spent watching television" is likely normally distributed. O E. The variable "weekly time spent watching television" is likely uniform, not normally distributed. (b) According to a certain survey, adults spend 2.45 hours per day watching television on a weekday. Assume that the standard deviation for…