Answer:
the function is increasing at an faster and faster rate
OR
the function is decreasing at a slower and slower rate
Q: concave down parameters
Answer:
the function is increasing at a slower and slower rate OR
the function is decreasing at a faster and faster rate
Q: quantitative variable
Answer:
a characteristic that can be measured numerically
Q: qualitative variable
Answer:
do not have a numerical value, but describe something;
colors, car model, political party, computer brands
Q: independent variable
Answer:
explains, influences, or affectsthe other variable;located on the x-axis of a graph
Q: dependent variable
Answer:
responds to the IV; located on the y-axis
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Constant e<\/a><\/p>\n\n\n\n 2.71828<\/a><\/p>\n\n\n\n slope-intercept formula<\/a><\/p>\n\n\n\n y = mx + b<\/a><\/p>\n\n\n\n L + m<\/a><\/p>\n\n\n\n the upper limit of a logistic function equation<\/a><\/p>\n\n\n\n m<\/a><\/p>\n\n\n\n the lower limit of a logistic equation<\/a><\/p>\n\n\n\n k<\/a><\/p>\n\n\n\n rate of increase for a logistic equation<\/a><\/p>\n\n\n\n C<\/a><\/p>\n\n\n\n start of increase for a logistic equation<\/a><\/p>\n\n\n\n linear<\/a><\/p>\n\n\n\n function that is a straight line<\/a><\/p>\n\n\n\n polynomial<\/a><\/p>\n\n\n\n function with curves and no asymptote<\/a><\/p>\n\n\n\n 0.7-1.0<\/a><\/p>\n\n\n\n r^2-value showing a strong correlation<\/a><\/p>\n\n\n\n 0.3-0.7<\/a><\/p>\n\n\n\n r^2-value showing a moderate correlation<\/a><\/p>\n\n\n\n 0.0-0.3<\/a><\/p>\n\n\n\n r^2-value showing a weak correlation<\/a><\/p>\n\n\n\n outlier<\/a><\/p>\n\n\n\n a data point which is distinctly separate from all others within a data set for reasons beyond the data<\/a><\/p>\n\n\n\n coefficient of determination<\/a><\/p>\n\n\n\n rating how well the function fits the real world data<\/a><\/p>\n\n\n\n r^2<\/a><\/p>\n\n\n\n coefficient of determination<\/a><\/p>\n\n\n\n regression equation<\/a><\/p>\n\n\n\n best fit equation for a set of real world data<\/a><\/p>\n\n\n\n Concave up<\/a><\/p>\n\n\n\n y = x^2<\/a><\/p>\n\n\n\n Concave down<\/a><\/p>\n\n\n\n y = -x^2<\/a><\/p>\n\n\n\n inflection point<\/a><\/p>\n\n\n\n a point where the concavity changes<\/a><\/p>\n\n\n\n asymptote<\/a><\/p>\n\n\n\n a line that continually approaches a given curve but does not meet it at any finite distance. A natural limitation<\/a><\/p>\n\n\n\n exponential function<\/a><\/p>\n\n\n\n a function with 1 curve and 1 asymptote<\/a><\/p>\n\n\n\n logistic function<\/a><\/p>\n\n\n\n function with 2 curves and 2 asymptotes<\/a><\/p>\n\n\n\n Concave up parameters<\/a><\/p>\n\n\n\n the function is increasing at an faster and faster rate OR concave down parameters<\/a><\/p>\n\n\n\n the function is increasing at a slower and slower rate OR quantitative variable<\/a><\/p>\n\n\n\n a characteristic that can be measured numerically<\/a><\/p>\n\n\n\n qualitative variable<\/a><\/p>\n\n\n\n do not have a numerical value, but describe something; colors, car model, political party, computer brands<\/a><\/p>\n\n\n\n independent variable<\/a><\/p>\n\n\n\n explains, influences, or affects the other variable; located on the x-axis of a graph<\/a><\/p>\n\n\n\n dependent variable<\/a><\/p>\n\n\n\n responds to the IV; located on the y-axis<\/a><\/p>\n\n\n\n input<\/a><\/p>\n\n\n\n independent variable<\/a><\/p>\n\n\n\n output<\/a><\/p>\n\n\n\n dependent variable<\/a><\/p>\n\n\n\n function notation<\/a><\/p>\n\n\n\n f(input) = output or f(x) = y<\/a><\/p>\n\n\n\n inverse function<\/a><\/p>\n\n\n\n a function that “undoes” what the original function does<\/a><\/p>\n\n\n\n interval<\/a><\/p>\n\n\n\n range of values<\/a><\/p>\n\n\n\n brackets<\/a><\/p>\n\n\n\n used to indicate an endpoint of an interval is included<\/a><\/p>\n\n\n\n parentheses<\/a><\/p>\n\n\n\n used to indicate an open endpoint in an interval<\/a><\/p>\n\n\n\n Moore’s Law<\/a><\/p>\n\n\n\n about every 2 years, the number of transistors that can fir on a circuit doubles<\/a><\/p>\n\n\n\n inverse function denotation<\/a><\/p>\n\n\n\n f^-1(x)<\/a><\/p>\n\n\n\n Order of Operations<\/a><\/p>\n\n\n\n Parentheses, Exponents, Multiplication, Division, Addition, Subtraction<\/a><\/p>\n\n\n\n linear function<\/a><\/p>\n\n\n\n y = mx + b<\/a><\/p>\n\n\n\n line’s slope<\/a><\/p>\n\n\n\n y = m<\/em><\/strong>x + b<\/a><\/p>\n\n\n\n rate of change<\/a><\/p>\n\n\n\n describes how a quantity is changing over time (per)<\/a><\/p>\n\n\n\n y-intercept<\/a><\/p>\n\n\n\n y = mx + b<\/em><\/strong><\/a><\/p>\n\n\n\n Multivariate<\/a><\/p>\n\n\n\n involving multiple factors, causes, or variables<\/a><\/p>\n\n\n\n temperature conversion<\/a><\/p>\n\n\n\n C(F) = (F-32)\/1.8 origin<\/a><\/p>\n\n\n\n A fixed point from which coordinates are measured.<\/a><\/p>\n\n\n\n (y, x)<\/a><\/p>\n\n\n\n what is the inverse of (x, y)<\/a><\/p>\n\n\n\n m = (y2-y1)\/(x2-x1)<\/a><\/p>\n\n\n\n slope formula<\/a><\/p>\n\n\n\n linear function aspect<\/a><\/p>\n\n\n\n always has the same rate of change<\/a><\/p>\n\n\n\n ratio<\/a><\/p>\n\n\n\n a comparison of two quantities<\/a><\/p>\n\n\n\n starting values and slopes<\/a><\/p>\n\n\n\n important aspects of linear functions<\/a><\/p>\n\n\n\n slopes<\/a><\/p>\n\n\n\n positive: lines that increase scatterplot<\/a><\/p>\n\n\n\n a graphed cluster of dots, each of which represents the values of two variables<\/a><\/p>\n\n\n\n line of best fit<\/a><\/p>\n\n\n\n a line drawn in a scatter plot to fit most of the dots and shows the relationship between the two sets of data<\/a><\/p>\n\n\n\n least-squares regression algorithm<\/a><\/p>\n\n\n\n used to find the best-fit line for the scatterplot<\/a><\/p>\n\n\n\n regression line<\/a><\/p>\n\n\n\n line of best fit<\/a><\/p>\n\n\n\n correlation coefficient<\/a><\/p>\n\n\n\n measures how closely the data values in a scatterplot follow the path of a straight line<\/a><\/p>\n\n\n\n r-value<\/a><\/p>\n\n\n\n correlation coefficient is a number between -1 and 1 that measures the strength and direction of a linear relationship<\/a><\/p>\n\n\n\n r^2-value<\/a><\/p>\n\n\n\n coefficient of determination; number between 0 and 1; is the appropriate measure for determining how well a particular function fits, or models the data<\/a><\/p>\n\n\n\n always the same<\/a><\/p>\n\n\n\n rate of change for a linear function<\/a><\/p>\n\n\n\n polynomial function<\/a><\/p>\n\n\n\n a function with real non-negative numbers – constants, variable, and exponents, that can be combined using addition, subtraction, multiplication, and division<\/a><\/p>\n\n\n\n polynomial’s degree<\/a><\/p>\n\n\n\n variable’s maximum exponent<\/a><\/p>\n\n\n\n linear polynomial<\/a><\/p>\n\n\n\n![\"Image:](\"https:\/\/quizlet.com\/cdn-cgi\/image\/f=auto,fit=cover,h=200,onerror=redirect,w=240\/https:\/\/o.quizlet.com\/s.z71.PvtiECaZNmohKciQ.png\")
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the function is decreasing at a slower and slower rate<\/a><\/p>\n\n\n\n
the function is decreasing at a faster and faster rate<\/a><\/p>\n\n\n\n
F(C) = 1.8C + 32<\/a><\/p>\n\n\n\n
negative: lines that decrease<\/a><\/p>\n\n\n\n
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