FinTech 10-3 Time Series

FinTech 10-3 Time Series

Professional Development

9 Qs

quiz-placeholder

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FinTech 10-3 Time Series

FinTech 10-3 Time Series

Assessment

Quiz

Computers, Other

Professional Development

Hard

Created by

Louis Burns

Used 9+ times

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9 questions

Show all answers

1.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

What were the objectives of Time Series day 3?

Define overfitting and articulate the benefits of parsimony

Evaluate the accuracy of out-of-sample predictions

Create a time series linear regression model using Scikit-learn

Create seasonal clustering analysis using Scikit-learn

Analyze and predict seasonal effects using regression

2.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

Which are components of a linear regression model?

Slope

Error

Y-intercept

Dependent variable

Independent variable

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which letter in the linear model is the independent variable?  y = mx +by\ =\ mx\ +b  

x

y

m

b

4.

MULTIPLE SELECT QUESTION

30 sec • 1 pt

Which are metrics can be used to check goodness of fit for a regression model?

r-square value

mean squared error

root mean squared error

correlation coefficient

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

What does this result show?

Low bias, low variance

High bias, low variance

Low bias, high variance

High bias, high variance

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which image shows overfitting?

Media Image
Media Image
Media Image

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What do we call the simplest, good-fitting model?

Parsimonious

Significant

Autoregressed

Linear

8.

OPEN ENDED QUESTION

30 sec • 1 pt

How was Time Series Day 3 for you?

Evaluate responses using AI:

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9.

OPEN ENDED QUESTION

30 sec • 1 pt

Any suggestions for improvement?

Evaluate responses using AI:

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