through the points is (5‚ - 5) and (4‚ 1). Equation of a line =? We know that‚ the equation of line is y = mx + c. m = slope‚ c = y-intercept. To find the equation of line‚ find out the m – slope and y-intercept values. Given points are (5‚- 5) and (4‚ 1). (x1‚ y1) is (5‚- 5) (x2‚ y2) is (4‚ 1) Slope m = (y2 - y1)/(x2 - x1) = (1 - (-5)) / (4 -5) = (1 + 5) / (-1) = 6 / (-1) Slope m = -6 Here we are. You’re actually going to take on your mathematics essay‚ you brave soul. You’ll
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ALL FI515 Week 5 Exam Answers ------------------------------------------------- Top of Form QUESTION 1: Which of the following statements is CORRECT? 1. One of the disadvantages of a sole proprietorship is that the proprietor is exposed to unlimited liability. 2. It is generally easier to transfer one’s ownership interest in a partnership than in a corporation. 3. One of the advantages of the corporate form of organization is that it avoids double taxation. 4. One of the advantages of a
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LINEWEAVER-BURK PLOT A graph of the double reciprocal equation is also called a Lineweaver-Burk‚ 1/Vo vs 1/[S]. The y intercept is 1/VMAX; the x-intercept is 1/ KM; and the slope is KM/VMAX. Lineweaver Burk graphs are particularly useful for analyzing how enzyme kinematics change in the presence of inhibitors‚ competitive‚ noncompetitive‚ or a mixture of the two. There are three reversible inhibitors: competitive
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parabola is designed on a basic formula‚ Y=ax^2+bx+c‚ which allows it to achieve a curve not seen in a normal line graphed using a Y=mx+b format. To the left is a graph who’s formula is y=x^2‚ where a=1‚ b=0‚ and c=0. I have isolated the (a) factor to see its effects on the parabola. Below is a graph where I have changed the (a) multiple times. The result is that as the (a) decreases‚ the mouth of the parabola widens due to the fact that (a) is essentially the slope of the parabola. Now‚ watch what happens
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Forecasting 2 1. Use Excel or other calculation software to input the data to calculate an estimated regression. Then‚ from the calculation provided‚ interpret the coefficient of determination‚ indicating how it will influence your decision to open the pizza business in your town or community. Explain any additional variables that may improve the coefficient of determination. a. To start the regression
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Date: 29/06/2009 . Bernoulli’s Law Name: Hibah Ismail . Section: 1 . Partner’s Name: Mohammad Kanso . A) Drag Coefficient What happens when you give the ball a gentle sideways push? Why? When we give the ball a gentle sideways push‚ it returns to its initial position above the fan. The air particles around the fan have a velocity equal to zero since they are still air. Therefore‚ the velocity of the
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1. The first step in evaluating a regression model is to determine whether the sign of the estimated slope term makes sense. The second step is to test whether or not the slope term is significantly different from zero. The appropriate statistical test to determine this is a t-test since the true regression error variance is generally unknown. The third check of regression is to evaluate what percent of the variation in the dependent variable is explained by variation in the independent variable
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straight line‚ positive slope. / R=-1 fall along a straight line with a negative slope. \ R=0 no linear relationship between variables. --- Limits on correlation coefficients- can only use if both are interval‚ and sensitive to outliers‚ does not capture non-linear relationships‚ does not show the strength of relationships. Interquartile range- location measure‚ shows outliers. Regression- how close the value is to the line (r^2) y=a+bx a= intercept. B= slope. Intercept is y=? when x=0. Regression
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√2x-7 = 0 5) Solve the inequality 5 < 7 - ½x < 9 6) Decide whether the following equations are parallel‚ perpendicular‚ or neither. y= 4x+6 y= -¼x + ¼ 7) Find the mindpoint of the line segment P1 and P2 P1 = (-1‚2) P2 = (3‚4) 8) Find the equation for the line with the given properties. Express the equation in slope intercept form. (-5‚ 4) and (-4‚2) Chapter’s 1 & 2 Test Review KEY 1) Write the expression in standard form a+bi (2-2i)(9+i) -----> 20-16i
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aˆ and bˆ for wage a bmale u ? (Hint: female = 1‐ male) 2. Consider the following model: log(Y ) X 1 D1 2 D2 u ‚ where Y = annual earnings of MBA graduates‚ X = years of experience‚ D1=1 if Harvard MBA; =0 otherwise‚ D2=1 if Wharton MBA; =0 otherwise. (1) What are the expected signs of ‚ 1 and 2 ? (2) How would you interpret 1 and 2 (hint: what is the base group here; note that earnings are in the log form)? (3) If 1 2 ‚ what conclusion
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