Simulate 100 random normal variables with mean 1.5 and standard deviation and create a histogram which shows the data in the range between −4 and 10, with class intervals of length 0.5 Make sure that your name and current date are also included in the histogram title on this and all the other histograms you generate for this exercise

Just what does "nulls" stand for? Which field type does not accept any erroneous values? Why?

Without running these code segments in​ MATLAB, what will be the value stored in the specified variable after executing each​ program?       Question content area bottom Part 1 What is stored in Dogs​?   nbsp 1  1 minus−   clear   nbsp 2  2 minus−   clc   nbsp 3  3 minus−   Greyhoundsequals=3030​;   nbsp 4  4 minus−   ​G_Costequals=250250​;   nbsp 5  5 minus−   Dalmationsequals=1010​;   nbsp 6  6 minus−   ​D_Costequals=100100​;   nbsp 7  7 minus−   Dogsequals=Greyhoundsstar*​G_Costplus+Dalmationsstar*​D_Cost;     The value of Dogs is enter your response here. ​ (Type a whole​ number.)

The definition of a variable must contain not just the variable's name, but also its "type" and "additional attributes." That is to say, all variables have characteristics beyond just their data type. Explain in further detail the idea that will eventually let us describe any variable with greater precision.

Only need help with the excel file. The moving averages as well as the MAD

Write your codes in a single m.file for each question Write commend to each line for explaining the line

Retrieve the "UndergradSurvey.xls" file from the item posted in the Final Exam Week content folder (next to this Exam).  Using Excel, create a multiple linear regression to predict the salary expectation (column I) of undergraduate students using their Age (column C), GPA (column G), and gender (column B) as the independent variables. Code the gender variable as 1 = female and 0 = male. What is the numeric value of the slope coefficient associated with Age in this model? (Round your answer to 3 decimals).

In order to define a variable correctly, "type" alone is insufficient. Every variable has its own unique set of properties, including the data type that corresponds to that variable specifically. How can we then apply this concept, which allows us to describe the characteristics of any variable?

It is not enough to just name a variable; the definition must additionally provide the variable's "type" and "extra characteristics." To reiterate, each variable is distinguished from others by characteristics that are independent of the data type. We would be really appreciative if you could explain the idea that would enable us to exactly describe any given variable.

Of the variables you have studied so far, which type nonnumerical data? yields OA. Qualitative B. Quantitative discrete C. Quantitative continuous D. None of the above