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Preventive measures for regression assumptions not met
Check for multicollinearity among independent variables
Transform variables if they are not normally distributed
Consider using non-parametric regression methods
Use robust regression techniques to handle outliers
Collect more data to improve model performance
Time series analysis components include trend, seasonality, cyclicality, and irregularity.
Trend: Long-term movement or direction of the data.
Seasonality: Regular patterns that occur at specific intervals.
Cyclicality: Repeating patterns that are not necessarily at fixed intervals.
Irregularity: Random fluctuations or noise in the data.
Examples: Trend in stock prices, seasonality in retail sales, cyclicality in econo...
Handling missing values is crucial in data analysis. Various techniques like imputation, deletion, or prediction can be used.
Use imputation techniques like mean, median, mode to fill in missing values.
Consider using predictive modeling to estimate missing values based on other variables.
Delete rows or columns with a high percentage of missing values if they cannot be accurately imputed.
Use advanced techniques like...
Linear regression assumptions include linearity, independence, homoscedasticity, and normality.
Linearity: The relationship between the independent and dependent variables is linear.
Independence: The residuals are independent of each other.
Homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.
Normality: The residuals are normally distributed.
Example: If we are pr...
Tuple is immutable and fixed in size, while list is mutable and can change in size.
Tuple is created using parentheses, while list is created using square brackets.
Tuple elements can be of different data types, while list elements are usually of the same data type.
Tuple is faster than list for iteration and accessing elements.
Example: tuple = (1, 'a', True), list = [1, 2, 3]
Multicollinearity is a phenomenon in which two or more predictor variables in a regression model are highly correlated.
Multicollinearity can lead to unstable estimates of the coefficients and make it difficult to determine the effect of each predictor variable on the outcome.
One way to tackle multicollinearity is to identify the highly correlated variables and consider removing one of them from the model.
Another a...
I applied via Referral and was interviewed before Apr 2023. There were 3 interview rounds.
Marketing Research, Advertisement companies
I applied via Referral and was interviewed in Apr 2023. There were 4 interview rounds.
I applied via Company Website and was interviewed before Mar 2023. There were 2 interview rounds.
MMM questions. Statistics. Background of education
I applied via Referral and was interviewed before Feb 2023. There were 2 interview rounds.
Multicollinearity is a phenomenon in which two or more predictor variables in a regression model are highly correlated.
Multicollinearity can lead to unstable estimates of the coefficients and make it difficult to determine the effect of each predictor variable on the outcome.
One way to tackle multicollinearity is to identify the highly correlated variables and consider removing one of them from the model.
Another approa...
Time series analysis components include trend, seasonality, cyclicality, and irregularity.
Trend: Long-term movement or direction of the data.
Seasonality: Regular patterns that occur at specific intervals.
Cyclicality: Repeating patterns that are not necessarily at fixed intervals.
Irregularity: Random fluctuations or noise in the data.
Examples: Trend in stock prices, seasonality in retail sales, cyclicality in economic c...
Preventive measures for regression assumptions not met
Check for multicollinearity among independent variables
Transform variables if they are not normally distributed
Consider using non-parametric regression methods
Use robust regression techniques to handle outliers
Collect more data to improve model performance
Outliers can be detected using statistical methods like Z-score, IQR, or visualization techniques like box plots.
Calculate Z-score for each data point and identify points with Z-score greater than a certain threshold (usually 3 or -3).
Use Interquartile Range (IQR) to identify outliers by determining data points that fall below Q1 - 1.5 * IQR or above Q3 + 1.5 * IQR.
Visualize the data using box plots and identify points...
I applied via Naukri.com and was interviewed in Mar 2022. There were 2 interview rounds.
Top trending discussions
I tend to overthink and can be too self-critical at times.
I often spend too much time analyzing details and can lose sight of the bigger picture.
I sometimes struggle with making decisions quickly due to overthinking.
I can be too hard on myself and take criticism too personally.
For example, in my previous job, I spent too much time perfecting a project and missed the deadline.
Another example is when I received construct...
Launching a new product involves several steps, from ideation to market launch.
Conduct market research to identify customer needs and preferences
Develop a product concept and create a prototype
Test the product with focus groups and make necessary adjustments
Create a marketing plan and determine pricing strategy
Launch the product and monitor sales and customer feedback
Make any necessary improvements or adjustments based...
Primary research is original research conducted by the researcher, while secondary research is based on existing research.
Primary research involves collecting new data through surveys, interviews, experiments, etc.
Secondary research involves analyzing existing data from sources like books, journals, websites, etc.
Primary research is more time-consuming and expensive than secondary research.
Secondary research is useful ...
There are approximately 50-60 traffic signals between Aurangabad and Pune.
Consider the distance between Aurangabad and Pune is around 235 km.
Assuming an average distance of 4 km between two signals, there would be around 58-59 signals.
However, the number may vary based on the route taken and the traffic density.
Also, the number of signals may have increased or decreased over time due to road development projects.
Hence,...
Market research involves gathering and analyzing information about a target market to make informed business decisions.
Identify research objectives and target audience
Choose research methods (surveys, focus groups, etc.)
Collect and analyze data
Draw conclusions and make recommendations
Continuously monitor and update research
Example: Conducting a survey to determine customer satisfaction with a product
Example: Analyzing ...
I appeared for an interview in Sep 2016.
I appeared for an interview before May 2016.
My CGPA decreased consistently after my 1st year due to various factors.
I faced challenges in adjusting to the new academic environment in my first year.
I had to balance my studies with extracurricular activities and part-time jobs.
I struggled with certain subjects or courses that were more challenging for me.
I may have experienced personal or health issues that affected my academic performance.
I learned from my mistak...
Some cricketers from the 70s include Sunil Gavaskar, Dennis Lillee, and Clive Lloyd.
Sunil Gavaskar was a legendary Indian batsman known for his technique and consistency.
Dennis Lillee was a fearsome Australian fast bowler who dominated the cricketing world in the 70s.
Clive Lloyd was a West Indian cricketer who captained the team to two consecutive World Cup victories in 1975 and 1979.
I applied via Naukri.com and was interviewed in Dec 2018. There were 4 interview rounds.
I applied via Campus Placement and was interviewed before Apr 2021. There were 2 interview rounds.
Brand Management
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