graph of f at (a, f(a)). Describe the parallels between finding the instantaneous of an object at a point in time and finding the slope of the line tan- gent to the graph of a function at a point on the graph. T 13. 5. Graph the parabola f(x) = x². Explain why the secant lines between the points (-a, f(-a)) and (a, f(a)) have zero slope. What is the slope of the tangent line at x = 0? %3D 6. T 14 Basic Skills Average velocity The function s(t) represents the position of an object at time t moving along a line. Suppose s(2) = 136 and s(3) = 156. Find the average velocity of the object over the inter- val of time 2, 3]. 7. inognst Average velocity The function s(t) represents the position of an object at time t moving along a line. Suppose s(1) = 84 and s(4) = 144. Find the average velocity of the object over the inter- val of time [1, 4]. 8. T 15 9. Average velocity The position of an object moving along a line is given by the function s(t) = -16t2 + 128t. Find the average velocity of the object over the following intervals. a. [1,4 c. [1,2] b. [1,3] d. [1,1 + h], where h > 0 is a real number 10. Average velocity The position of an object moving along a line is given by the function s(t) = -4.9t2 + 30t + 20. Find the average velocity of the object over the following intervals. a. [0,3] c. [0, 1] T 1 b. [0, 2] d. 0, h|, where h > 0 is a real number 11. Average velocity The table gives the position s(t) of an object moving along a line at time t, over a two-second interval. Find the average velocity of the object over the following intervals. a. [0, 2] b. [0, 1.5] c. [0, 1] d. [0, 0.5] IT (08 4.
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
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