Consider the data in the Excel file Consumer Price Index. Use simple linear regression to forecast the data. What would be the forecasts for the next two months? (Your regression equation should be look like CPI = a + b T. The T is year and 1990=1; 1991=2; 1992=3; 1993=4; 1994=5; 1995=6; 1996=7; 1997=8; 1998=9; 1999=10) Year CPI 1990 169.3 1991 170.0 1992 172.4 1993 175.3 1994 177.2 1995 176.8 1996 179.1 1997 180.1 1998 ? 1999 ?
Answers: 3
Business, 22.06.2019 08:10, alex7881
The last time he flew jet value air, juan's plane developed a fuel leak and had to make an 4) emergency landing. the time before that, his plane was grounded because of an electrical problem. juan is sure his current trip will be fraught with problems and he will once again be delayed. this is an example of the bias a) confirmation b) availability c) selective perception d) randomness
Answers: 1
Business, 22.06.2019 20:40, ninjaben
On january 1, 2017, pharoah company issued 10-year, $2,020,000 face value, 6% bonds, at par. each $1,000 bond is convertible into 16 shares of pharoah common stock. pharoah’s net income in 2017 was $317,000, and its tax rate was 40%. the company had 97,000 shares of common stock outstanding throughout 2017. none of the bonds were converted in 2017. (a) compute diluted earnings per share for 2017. (round answer to 2 decimal places, e. g. $2.55.) diluted earnings per share
Answers: 3
Business, 23.06.2019 01:50, snikergrace
The capital balances, prior to the liquidation of the benjamin, gaynor, megan partnership, were as follows: benjamin, capital $100,000gaynor, capital $120,000megan, capital $175,000benjamin, gaynor, and megan share profits and losses in the ratio of 25%, 40%, 35%. as a result of a loan, the partnership owes gaynor $80,000. using the information above, which partner has the highest loss absorption power (lap) prior to liquidation? a. gaynorb. meganc. benjamind. both gaynor and megan have the same lap
Answers: 2
Consider the data in the Excel file Consumer Price Index. Use simple linear regression to forecast t...
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