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What else can I help you with?
What is a curvilinear curve?
"In curvilinear relationships, the data points increase together up to a certain point (like a positive relationship) and then as one increases, the other decreases (negative relationship) or vice versa." A linear relation is very simple: if one variable goes up, the other goes up (positive correlation) or goes down (negative correlation). A curvilinear relation between variables is non-linear (i.e., that cannot be described by a straight line). Basically, anythig not linear is curvilinear.
How do you read a scatter graph?
Scatter-plot shows correlation between two different variables (one on the y-axis, the other on x-axis). If there is linear correlation, the scatter-points form a straight line from zero (origo) to some direction. The more cloud-like distribution the scatter-plot does have, the less those variables in question have correlation or dependence with each other.
How can you decide whether a relationship is linear by studying the words to describe the variables?
To determine if a relationship is linear by examining the words used to describe the variables, look for terms that imply a consistent, proportional change between them, such as "increase," "decrease," or "constant rate." Phrases like "directly proportional" or "linear relationship" suggest a linear connection. Conversely, words indicating variability or non-constant rates, such as "exponential," "quadratic," or "curvilinear," suggest a non-linear relationship. Ultimately, the language used can provide insights into the nature of the relationship.
How can you decide whether a relationship is linear by studying the words used to describe the variables?
To determine if a relationship is linear based on word descriptions, look for terms that indicate a constant rate of change, such as "increase by a fixed amount" or "decrease steadily." Phrases like "proportional to" or "directly related" suggest a linear relationship, while words indicating varying rates, such as "exponential," "quadratic," or "nonlinear," imply a non-linear relationship. Additionally, if the variables are described as having a direct correlation without fluctuations, that further supports a linear relationship.
How do you figure out correlection?
To figure out correlation, you typically calculate the correlation coefficient, such as Pearson's r, which quantifies the strength and direction of a linear relationship between two variables. This involves collecting paired data points, calculating the means and standard deviations of each variable, and then applying the formula for the correlation coefficient. Additionally, visual tools like scatter plots can help identify the relationship before calculating the coefficient. A value close to +1 indicates a strong positive correlation, while a value close to -1 indicates a strong negative correlation.
Is the relationship between velocity and height a linear one on an incline?
No, the relationship between velocity and height on an incline is not linear. Velocity is influenced by factors like acceleration due to gravity and friction, making it a non-linear relationship.
What is a curvilinear curve?
"In curvilinear relationships, the data points increase together up to a certain point (like a positive relationship) and then as one increases, the other decreases (negative relationship) or vice versa." A linear relation is very simple: if one variable goes up, the other goes up (positive correlation) or goes down (negative correlation). A curvilinear relation between variables is non-linear (i.e., that cannot be described by a straight line). Basically, anythig not linear is curvilinear.
How do you read a scatter graph?
Scatter-plot shows correlation between two different variables (one on the y-axis, the other on x-axis). If there is linear correlation, the scatter-points form a straight line from zero (origo) to some direction. The more cloud-like distribution the scatter-plot does have, the less those variables in question have correlation or dependence with each other.
What does a line of best fit tell you about data on scatterplot?
It tells you that if there were a linear relationship between the two variables, what that relationship would look like and also how much the observations differed from that linear fit.
How can you decide whether a relationship is linear by studying the words to describe the variables?
To determine if a relationship is linear by examining the words used to describe the variables, look for terms that imply a consistent, proportional change between them, such as "increase," "decrease," or "constant rate." Phrases like "directly proportional" or "linear relationship" suggest a linear connection. Conversely, words indicating variability or non-constant rates, such as "exponential," "quadratic," or "curvilinear," suggest a non-linear relationship. Ultimately, the language used can provide insights into the nature of the relationship.
How can you decide whether a relationship is linear by studying the words used to describe the variables?
To determine if a relationship is linear based on word descriptions, look for terms that indicate a constant rate of change, such as "increase by a fixed amount" or "decrease steadily." Phrases like "proportional to" or "directly related" suggest a linear relationship, while words indicating varying rates, such as "exponential," "quadratic," or "nonlinear," imply a non-linear relationship. Additionally, if the variables are described as having a direct correlation without fluctuations, that further supports a linear relationship.
Why is negative times a negative a positive?
think of it like this a negative times a positive don't go together in a relationship they have to have the same attitude
How do you figure out correlection?
To figure out correlation, you typically calculate the correlation coefficient, such as Pearson's r, which quantifies the strength and direction of a linear relationship between two variables. This involves collecting paired data points, calculating the means and standard deviations of each variable, and then applying the formula for the correlation coefficient. Additionally, visual tools like scatter plots can help identify the relationship before calculating the coefficient. A value close to +1 indicates a strong positive correlation, while a value close to -1 indicates a strong negative correlation.
What does a scatter plot look like Having a positive linear correlation?
It looks like a straight line increasing as the x-values increase. So basically a line that goes from the bottom left area to the top right area on a graph.
How can you decide whether a relationship is linear by studying the words used to describe a variable?
Words such as "proportional to" "increases as" "decreases as", usually give an indication of a linear relation. If there are words like "Square" "power" "inversely proportional" then most likely not linear.
How do you decide whether a relationship is linear by studying a word used to describe the variables?
To determine if a relationship is linear by examining the words used to describe the variables, look for terms that imply a constant rate of change, such as "proportional" or "directly related." If the description suggests that one variable increases or decreases consistently with the other, it indicates a linear relationship. Conversely, words indicating a non-constant or varying rate of change, like "exponential" or "quadratic," suggest a nonlinear relationship.
How you identify function based from graphs and equation?
An equation is the same as a function. Identifying a functional relationship from a graph is nearly impossible unless it is trivially simple like a linear relationship.
