SUMMARY OUTPUT Regression Statistics
Multiple R 0.971
R-Square A
Adjusted R-Square B
Standard Error 30.462
Observations 51
ANOVA
df SS MS F Significance F
Regression C 747851.57 373925.79 402.98 9.89E-31
Residual 48 D 927.91
Total 50 792391.11
Coefficients Standard Error t Stat P-Value Lower 95% Upper 95%
Intercept E 62.13 26.79 1.60E-30 1539.66 1789.51
Price of Roses -6.68 F -1.41 1.64E-01 -16.16 2.81
Disposable Income (M) 9.73 0.34 G 1.23E-31 9.04 10.42
The residual sum of squares and degrees of freedom due to the regression are:
a) 44,539.54 and 2, respectively.
b) 747,851.57, and 98, respectively.
c) 1,540,242.68 and 48, respectively.
d) There is not sufficient information to answer this question

Because the demand for wheat tends to be inelastic. true or false

One of the benefits of a well designed ergonomic work environment is low operating costs is true or false

Suppose the government decides to issue a new savings bond that is guaranteed to double in value if you hold it for 20 years. assume you purchase a bond that costs $25. a. what is the exact rate of return you would earn if you held the bond for 20 years until it doubled in value? (do not round intermediate calculations and enter your answer as a percent rounded to 2 decimal places, e. g., 32.16.) b. if you purchased the bond for $25 in 2017 at the then current interest rate of .27 percent year, how much would the bond be worth in 2027? (do not round intermediate calculations and round your answer to 2 decimal places, e. g., 32.16.) c. in 2027, instead of cashing in the bond for its then current value, you decide to hold the bond until it doubles in face value in 2037. what annual rate of return will you earn over the last 10 years? (do not