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3. Determine the correlation coefficient between si(t) and each of the pulses sz(t), sz(t), and salt)....
Find the correlation coefficient ρ between the signal x(t) and each of the four pulses 83(0), and g4(0) shown in Fig. P2.6-1. To provide maximum margin against the noise along the transmission path, which pair of pulses would you select for a binary communication? 2.6-1 820t) 81(t) Figure P2.6-1 x(t) -sin 2T sin 2t 0 0 83() p 84(0) 0.707 0.707 0.5 -0.707
Find the correlation coefficient ρ between the signal x(t) and each of the four pulses 83(0), and...
(a) Find the correlation coefficient between the reference pulse 8, (t) and each of the other pulses gi(t). (b) If go(t) and one of the other pulses are to be used in a binary communication system, which pulse should be chosen to obtain the best noise immunity? Explain your choice. 8.(1) OS 81(0) 8 1- 0 4 st 2 8(1) 0 8
A study indicates the correlation coefficient between salt intake and blood pressure is 0.8. If we plot the data points using salt intake as X axis, and blood pressure as Y axis. What will show on the plot? 1. The data points are clustered close to a line that slopes down to the right 2. The data points are clustered close to a line that slopes up to the right 3. The data points are scattered around a line that...
Q3 If DW is 1.5. What is the correlation coefficient between Te and u-i? at is the correlation coefficient between i and e-(5 marks) Q4. If the error term is heteroskedastic, then standard error is not correct but t-statistic is correct. True or False? (5 marks)
Q3 If DW is 1.5. What is the correlation coefficient between Te and u-i? at is the correlation coefficient between i and e-(5 marks) Q4. If the error term is heteroskedastic, then standard error...
Determine whether each of the following statements regarding the correlation coefficient is true or false. The correlation coefficient equals the proportion of times that two variables lie on a straight line. The correlation coefficient will be +1.0 if all the data points lie on a perfectly horizontal straight line. The correlation coefficient measures the strength of any relationship that may be present between two variables. The correlation coefficient must always lie between –1.0 and +1.0.
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7 pts) Consider an FSK system where bits 1 and 0 are transmitted using signals si(t) and s2(t) 2Eb 2Eb where θ1 and 02 are the phases of the two signals. (a) (3 pt) Find the correlation between the signal s1(t) ard salt), i.e., find oin(t)s2(t)dt. b) (2 pt) Assuming non-coherent carriers, i.e., θ|メ02, state the condition for which the correlation derived in part (a) goes to zero. (c) (2 pt) Repeat part (b) for the case where...
Let W(t) be a standard wiener process. For s,t > 0, find the correlation coefficient between W(s) and W(t)
4. Heights of Presidents and Runners-Up data set: determine correlation coefficient r, determine of the correlation is significant. Winner 69.5 73 73 74 74.5 74.5 71 71 a correlation coefficient r = Runner-up 72 69.5 70 68 74 74 73 76 b. significant (yes or no)? 5. Casino Size and Revenue data set: determine correlation coefficient r, determine if the correlation is significant Size 160 227 140 144 161 147 141 a. correlation coefficient Revenue 189 157 140 127 123...
4.he sample correlation coefficient between X and Y, rxy Sx/Sx S where S-the covariance between X and Ys Σ(X-XM) (-Yu)/ n-1 Sx the standard deviation of X and Sy the standard deviation of Y I) If the covariance is positive, the correlation coefficient must be positive: True or False? ii) If the covariance is negative, the correlation coefficient must be positive: True or False? a) ii) The correlation coefficient must lie between 0 and 1. True or False? v)lf the...
Compute the linear correlation coefficient between the two variables and determine whether a linear relation exists. Round to three decimal places X y 2 1.3 3 1.6 5 2.1 5 2.2 6 2.7 Click the icon to view the critical values table, A 0.983, a linear relation exists OB. r=0.883; a linear relation exists O C 0.883; no linear relation exists O D . r=0.983; no linear relation exists