Question
In: Chemistry
Structural data evolves with time, even for simple molecules. Consider the compounds E(CF3)3, i.e, the tris(trifluoromethyl)...
Structural data evolves with time, even for simple molecules. Consider the compounds E(CF3)3, i.e, the tris(trifluoromethyl) derivatives of P, As, and Sb. C-E-C bond angles were determined by gas-phase electron diffraction in the mid-20th century and given as: E=P, 99.6°; E=As, 100.1°; E=Sb, 100.0°.
a) Does this trend seem reasonable, and explain your answer.
b) A more rigorous recent similar experiment gave a C-As-C bond angle of 95.4°, compared to a calculated value of 95.9°. In view of this which of the other two C-E-C bond angles seems most suspect, and why?
Solutions
queen_honey_blossom answered 1 year agoRelated Solutions
3. Consider the following data on the prices of four bonds: Bond Principal($) Time to Maturity(Years)...
3. Consider the following data on the prices of four bonds:
Bond Principal($)
Time to Maturity(Years)
Annual Coupon($)
Bond Price($)
100
0.50
0
92.0
100
1.00
0
91.0
100
1.50
3
99.0
100
2.00
6
104.0
*Half the stated coupon is assumed to be paid every six
months:
Calculate two-year zero rate.
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 3 6...
Consider the following time series data.
Quarter
Year 1
Year 2
Year 3
1
3
6
7
2
4
1
8
3
1
7
5
4
5
7
8
a. Which of the following is a time series
plot?
- Select your answer -time series plot #1time series plot #2time
series plot #3Item 1
What type of pattern exists in the data?
- Select your answer -upward linear trendnonlinear trend and a
seasonal patternlinear trend and a seasonal patternslight
curvaturedownward...
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 3 6...
Consider the following time series data.
Quarter
Year 1
Year 2
Year 3
1
3
6
8
2
2
4
8
3
4
7
9
4
6
9
11
.
(a) Use a multiple regression model with dummy
variables as follows to develop an equation to account for seasonal
effects in the data. Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1
if Quarter 2, 0 otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise.
If required, round your...
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 2 3...
Consider the following time series data.
Quarter
Year 1
Year 2
Year 3
1
2
3
4
4
2
3
5
6
3
5
7
7
6
6
8
Graph this data series (use the X-Y scatter/chart tool in Excel
for this plot). What type of pattern(s) exists in the data? Does
the graph suggest that these data exhibit seasonality? What is the
length of the season in this particular case?
Determine the seasonal factors for each quarter using
METHOD...
Consider a simple linear regression model with time series data: yt=B0+ B1xt +ut t= 1;2,.....T Suppose...
Consider a simple linear regression model with time series data:
yt=B0+ B1xt +ut t= 1;2,.....T
Suppose the error ut is strictly exogenous. That is
E(utIx1;....xt,.....xT) = 0
Moreover, the error term follows an AR(1) serial correlation
model. That is, ut= put-1 +et t= 1;2,.....T (3)
where et are uncorrelated, and have a zero mean and constant
variance.
a. [2 points] Will the OLS estimator of B1 be unbiased? Why or
why not?
b. [3 points] Will the conventional estimator of...
Consider the following time series data. Week 1 2 3 4 5 6 Value 19 12...
Consider the following time series data.
Week
1
2
3
4
5
6
Value
19
12
15
11
18
13
a. Use α = 0.2 to compute the exponential smoothing
forecasts for the time series.
Week
Time Series
Value
Forecast
1
19
2
12
3
15
4
11
5
18
6
13
Compute MSE. (Round your answer to two decimal places.)
MSE =
b. Use a smoothing constant of α = 0.4 to compute the
exponential smoothing forecasts.
Week
Time...
Consider the following time series data. Month 1 2 3 4 5 6 7 Value 22...
Consider the following time series data.
Month
1
2
3
4
5
6
7
Value
22
13
18
11
19
22
14
Round your answers to two decimal places.
a. Compute MSE using the most recent value as
the forecast for the next period.
Mean squared error is
What is the forecast for month ?
b. Compute MSE using the average of all data
available as the forecast for the next period.
Mean squared error is
What is the forecast...
Consider the following time series data. t 1 2 3 4 5 6 7 yt 10...
Consider the following time series data. t 1 2 3 4 5 6 7 yt 10 9
7 8 6 4 4 a. Construct a time series plot. What type of pattern
exists in the data? b. Develop the linear trend equation for this
time series. c. What is the forecast for t=8?
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 2 4...
Consider the following time series data.
Quarter
Year 1
Year 2
Year 3
1
2
4
5
2
4
5
8
3
1
3
4
4
7
9
10
(a)
Choose the correct time series plot.
(i)
(ii)
(iii)
(iv)
- Select your answer -Plot (i)Plot (ii)Plot (iii)Plot (iv)Item
1
What type of pattern exists in the data?
- Select your answer -Positive trend pattern, no
seasonalityHorizontal pattern, no seasonalityNegative trend
pattern, no seasonalityPositive trend pattern, with
seasonalityHorizontal pattern, with...
Consider the following time series data. Quarter Year 1 Year 2 Year 3 1 2 5...
Consider the following time series data.
Quarter
Year 1
Year 2
Year 3
1
2
5
7
2
0
2
6
3
5
8
10
4
5
8
10
b)
Use a multiple regression model with dummy variables as follows
to develop an equation to account for seasonal effects in the data.
Qtr1 = 1 if Quarter 1, 0 otherwise; Qtr2 = 1 if Quarter 2, 0
otherwise; Qtr3 = 1 if Quarter 3, 0 otherwise.
If required, round your...
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