Question 3a, 4d, 5a, and 5b are wrong. Please fix them. Thanks # CG Q0a # Read the data file bikeshare.csv into R and name the object bikes.

Q3A) Based on graph you produced and the theory highlighted in the previous sections, re-estimate the capacitance. Show work and include plots [Hint: Use Capstone’s trend-line fit]. Q3B) To the previous configuration add the 110 μF in series.

Question: Q3A) Based on graph you produced and the theory highlighted in the previous sections, re- estimate the capacitance. Show work and include plots [Hint: Use Capstone's trend-line fit). Q3B) To the previous configuration add the 110 uF in series. Probe the voltage across the capacitors in series with your PASCO current/voltage sensor.

# CG Q3a # You will predict the probability of more than 7,000 rides ##### when it's 25 degrees celsius day. ####### Create a data frame defining this value and name it newdata. # CG Q3b # Use the predict() function to predict the probability of ####### demand for more than 7,000 rides using newdata from Q3a.

Question: Q3a. Quickstop provides its customers with coffee and donuts at 6am each day. The convenience store buys the donuts for 7 cents each and sells them for 25 cents until 8am. After 8am, the donuts sell for 5 cents each. The number of customers buying donuts between 6a – 8a is uniformly distributed between 90 – 150.

Q3a. The shear strength of a normally consolidated clay can be given by the equation. Tp = o'tan 27° The following are the results of a consolidated-undrained test on the clay • Chamber-confining pressure 150 kN/m2 • Deviator stress at failure 120 kN/m2 a. Determine the consolidated-undrained friction angle b.

Answer to 38 \#\#\#\#\#\#\# A: up 1 degree, B: up 13 degrees,

Question: Q3a) Estimate how fast an electron is traveling from one dome to the other when this distance is the maximum this VDG can produce sparks. Consider that the VDG is a ~1MV. Do the results make sense? Show work (Hint: conservation of mechanical energy at its best...] Q3c) Imagine you approach a candle flame next to a VDG.

# CG Q0a # Read the data file bikeshare.csv into R and name the object bikes. bikes <-read.csv ("bikeshare.csv", stringsAsFactors = T) # CG Q1 # Run str() on the bikes data frame to see that there are quantitative variables # and to confirm that the strings = T argument reads in character data as a factor. str (bikes)

# QUESTION 3 --- Look at the results of the lasso regression# CG Q3a # Use the names() function on the spender object##### to see values we have access to. # CG Q3b # use the dim() function on the beta object to see##### that there are 1,000 rows corresponding to a coefficient##### for each of the 1,000 websites in the data and that