A data analyst at a construction materials manufacturer is working on a project for one of their products.  During that time, she performs regression analysis and receives the following output from her software tool.  Based on the output, density should be removed from the regression model.  

Regression analysis is used to generate an equation that will predict how the density of particleboard affects its stiffness.  Based on the following results from the analysis, if the value for “density” is 28, what would be the predicted “stiffness”?  

The magnitude of the Discrete-time Fourier transform (DTFT) of  x(n)=  

A sampling rate change by a noninteger factor of 5/6 is implemented. Give the bandwidth of the digital filter to be used.

Overlapping windows in processing the signals in the morphing project are usually

A 100-point DFT is applied on a 250 Hz cosine waveform that was sampled at 1000 Hz. Give the magnitude of X(k) for k=0,1,..,99.

A data scientist uses regression to generate the equation below that will predict how temperature affects the thermal expansion of copper.  Based on this equation, if the value for “Kelvin” is 550, what would be the predicted value for “expansion”?  

The carrier signal in the sound morphing project in the frequency domain consists of

An online retailer wants to understand why their website is slower than that of a competitor.  As they analyze website load times from the last month, they notice that the correlation coefficient between two variables in the data — “page size (kB)” and “load time (seconds)” — is 0.68.  This would indicate which of the following:

A hospital wants to understand the factors that impact patient flow into its emergency room.   As they analyze data about patient visits from the last year, they notice that the correlation coefficient between two variables — “number of patients” and “amount of precipitation (rain)” — is 0.04.  This would indicate which of the following: