How do you know your Linear regression line is correct? #datascienceinterviewquestionsandanswers
How do you know your Linear regression line is correct? #datascienceinterviewquestionsandanswers
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Deeply AI: AI, ChatGPT, Robotics, Data Science on Instagram: "Linear regression is a straightforward yet powerful statistical technique used to analyze the relationship between two variables. It works by identifying the best-fitting straight line through a set of data points, known as the regression line. This line helps predict the value of one variable based on the other. For instance, if you're examining the link between study hours and test scores, linear regression can estimate a student's
Deeply AI: AI, ChatGPT, Robotics, Data Science on Instagram: "Linear regression is a straightforward yet powerful statistical technique used to analyze the relationship between two variables. It works by identifying the best-fitting straight line through a set of data points, known as the regression line. This line helps predict the value of one variable based on the other. For instance, if you're examining the link between study hours and test scores, linear regression can estimate a student's
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Artificial Intelligence | AI on Instagram: "Linear regression is a simple yet powerful statistical method used to understand the relationship between two variables. It involves finding the best-fitting straight line through a set of data points. This line, called the regression line, is used to predict the value of one variable based on the value of another. For example, if you’re looking at the relationship between hours studied and test scores, linear regression can help predict test scores ba
Artificial Intelligence | AI on Instagram: "Linear regression is a simple yet powerful statistical method used to understand the relationship between two variables. It involves finding the best-fitting straight line through a set of data points. This line, called the regression line, is used to predict the value of one variable based on the value of another. For example, if you’re looking at the relationship between hours studied and test scores, linear regression can help predict test scores ba
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This is how you make a linear regression equation!! #linearregression #equations #algebra1regents
This is how you make a linear regression equation!! #linearregression #equations #algebra1regents
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crackd desmos on Instagram: "How we did it 👀👇 The question gives us two points that correspond to line L1 which we can make a linear regression with using a table in desmos. We are also told that line L2, which is perpendicular to line L1, passes through the origin. Since the slope of L1 is 2x, we know the slope of L2 must be -1/2x, which passes through the origin. The (x,y) point of intersection is (-0.4,0.2), which add up to -1/5. Comment DESMOS to join the LARGEST SAT + ACT prep community!
crackd desmos on Instagram: "How we did it 👀👇 The question gives us two points that correspond to line L1 which we can make a linear regression with using a table in desmos. We are also told that line L2, which is perpendicular to line L1, passes through the origin. Since the slope of L1 is 2x, we know the slope of L2 must be -1/2x, which passes through the origin. The (x,y) point of intersection is (-0.4,0.2), which add up to -1/5. Comment DESMOS to join the LARGEST SAT + ACT prep community!
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Artificial Intelligence | AI on Instagram: "Linear regression is a simple yet powerful statistical method used to understand the relationship between two variables. It involves finding the best-fitting straight line through a set of data points. This line, called the regression line, is used to predict the value of one variable based on the value of another. For example, if you’re looking at the relationship between hours studied and test scores, linear regression can help predict test scores ba
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AI • Artificial Intelligence • Tech on Instagram: "Linear regression is a simple yet powerful statistical method used to understand the relationship between two variables. It involves finding the best-fitting straight line through a set of data points. This line, called the regression line, is used to predict the value of one variable based on the value of another. For example, if you’re looking at the relationship between hours studied and test scores, linear regression can help predict test sc
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