Answer:
The curve represented by Green color Dotted Lines in the attached figure represents the Reflection in x-axis of the curve 
.
Step-by-step explanation:
As we know, the value of 
lies between (-1,1) and its graph is a curve. Its value keeps on varying between -1 and 1 only depending on the value of 
.
The value of 
is 
at 
. Few values are labeled in the figure attached in the answer. The value is 1 at 
.
The curve shown in blue color solid line represents the curve of .
And the curve shown in the dotted green color in the attached figure represents the reflection in the x-axis.
Answer:
1)
M: 15
T: 14
W: 19
Th: 20
F: 9
Sa: 9
Su: 5
2) 18 degrees
Step-by-step explanation:
Answer:
A. 31/100
Step-by-step explanation:
Change 3/10 to hundreds:
3/10 × 10/10 = 30/100
The denominator (the bottom number) must be 100.
61 - 30 is 31.
The missing number is 31/100. See image.
Answer:
(silk butterfly numerator )(butterfly denominator) 4cm/20cm = 1cm/5cm
Answer:
Step-by-step explanation:
In the model
Log (salary) = B0 + B1LSAT +B2GPA +B3log(libvol) +B4log(cost)+B5 rank+u
The hypothesis that rank has no effect on log (salary) is H0:B5 = 0. The estimated equation (now with standard errors) is
Log (salary) = 8.34 + .0047 LSAT + .248 GPA + .095 log(libvol)
(0.53) (.0040) (.090) (.033)
+ .038 log(cost) – .0033 rank
(.032) (.0003)
n = 136, R2 = .842.
The t statistic on rank is –11(i.e. 0.0033/0.0003), which is very significant. If rank decreases by 10 (which is a move up for a law school), median starting salary is predicted to increase by about 3.3%.
(ii) LSAT is not statistically significant (t statistic ≈1.18) but GPA is very significance (t statistic ≈2.76). The test for joint significance is moot given that GPA is so significant, but for completeness the F statistic is about 9.95 (with 2 and 130 df) and p-value ≈.0001.
