Consider the below data which is based on a company’s sales in Year 1 through Year 12 along with the national income of the country, where the business is set up. Year National Income (in millions of dollars) x Company's sales (in thousands of dollars) y Year 1 305 470 Year 2 316 485 Year 3 358 499 Year 4 350 515 Year 5 375 532 Year 6 392 532 Year 7 400 556 Year 8 398 576 Year 9 430 583 Year 10 456 587 Year 11 578 601 Year 12 498 605 Develop a simple linear regression equation to predict the company's sales (Y), given the national income (X). Model: Y= B0 +B1X1) Copy and paste your Regression output in here 2) How much variation in the sample values of company’s sales is explained by this regression model

1. descriptive statistics quickly describe large amounts of data can predict future stock returns with surprising accuracy statisticians understand non-numeric information, like colors refer mainly to patterns that can be found in data 2. a 15% return on a stock means that 15% of the original purchase price of the stock returns to the seller at the end of the year 15% of the people who purchased the stock will see a return the stock is worth 15% more at the end of the year than at the beginning the stock has lost 15% of its value since it was originally sold 3. a stock purchased on january 1 cost $4.35 per share. the same stock, sold on december 31 of the same year, brought in $4.75 per share. what was the approximate return on this stock? 0.09% 109% 1.09% 9% 4. a stock sells for $6.99 on december 31, providing the seller with a 6% annual return. what was the price of the stock at the beginning of the year? $6.59 $1.16 $7.42 $5.84

The following information relates to the pina company. date ending inventory price (end-of-year prices) index december 31, 2013 $73,700 100 december 31, 2014 100,092 114 december 31, 2015 107,856 126 december 31, 2016 123,009 131 december 31, 2017 113,288 136 use the dollar-value lifo method to compute the ending inventory for pina company for 2013 through 2017.

Awork system has five stations that have process times of 5, 9, 4, 9, and 8. what is the throughput time of the system? a. 7b. 4c. 18d. 35e. 9