14 Class XI IT © Area of ∆ACD SU M Thus‚ area (ABCD) Question 2: The base of an equilateral triangle with side 2a lies along they y-axis such that the mid point of the base is at the origin. Find vertices of the triangle. Answer Let ABC be the given equilateral triangle with side 2a. Accordingly‚ AB = BC = CA = 2a Assume that base BC lies along the y-axis such that the mid-point of BC is at the origin. i.e.‚ BO = OC = a‚ where O is the origin. Now‚ it is clear that the coordinates of point
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common questions on working with and interpreting dummy variables. Questions: 1) How to include dummy variables in a regression? 2) How to interpret a coefficient on a dummy variable? 3) How to test hypotheses with dummy variables and interaction terms? 4) How to create a double-log functional form with dummy variables? 5) How to interpret a coefficient on a dummy variable with a log dependent variable? 1) How to include dummy variables in a regression? Example: You want to
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The slope will be -r and the intercept vertical axis will be the EMF (E)._ REFERENCE VALUE EMF of the battery 1. 490 ± 0.001V ASPECT 2 & 3 DATA COLLECTION AND PROCESSING Obs. No. Voltage Current ± 0.01V ± 0.1A 1 0.42 1.7 2 0.54 1.5 3 0.62 1.3 4 0.66 1.2 5 0.80 0.9 6 0.90 0.7 7 0.94 0.6 8 1.10 0.4 9 1.20 0.3 Figure 1 Voltage against Current CEV CALCULATION _THE INTERNAL RESISTANCE OF THE BATTERY_ Uncertainty for Slope From
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GINGOOG CITY COMPREHENSIVE NATIONAL HIGH SCHOOL Gingoog City DEVELOPING STRATEGIES INTERVENTION MATERIALS 2010 Mid-Year INSET October 27 -28‚ 2010 Developing Strategic Intervention Materials Guide Card Activity Card Assessment Card Enrichment Card Reference Card Guide in Reviewing Intervention Materials Guide Card 1. Gives a preview of what students will learn. 2. Stimulates interest in the topic 3. Presents the focus
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* x and y intercepts * slope and one point * slope and the y-intercept 4. Given f(x) = mx + b‚ determine the following: * slope * trend: increasing or decreasing * x and y intercepts * some points 5. Determine f(x) = mx + b given: * slope and y-intercept * x and y intercepts * slope and one point
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of one variable‚ y‚ given the value of another variable‚ x. The term simple linear regression refers to the use of one independent variable‚ x‚ to predict one dependent variable‚ y. The regression line is usually plotted on a graph‚ with the horizontal axis representing x (the independent or predictor variable) and the vertical axis representing the y (the dependent or predicted variable) (see Figure 27-1). The value represented by the letter a is referred to as the y intercept or the point where
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Math assessment 2-23-12 1. Write 5.7% as an equivalent decimal. (Points : 1) 5.7 0.57 0.057 570 None of the above | 2. Write 7.319 as an equivalent fraction. (Points : 1) 7‚319/10 7‚319/100 7‚319/1‚000 7‚319/10‚000 None of the above | 3. Write 1.035 as an equivalent percent(%). (Points : 1) 1.035% 10.35% 103.5% 0.0135% None of the above | 4. 25 is 40% of what number
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y=1/2x+1; (4‚2) Locate the parallel Line by using the ordered pair (4‚2) Multiply ½ by x to come up with x/2 Now we have y = x/2 + 1 Let’s use the formula y = mx + b whereas m equals slope and equals the y-intercept. Right now we know that m = ½ when using the above formula So in order to find the equation which is parallel to y + 1/2(x + 1) the slopes will have to be equal. We must incorporate the slope of the equation to find the parallel lines by using the point slope formula
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model used explains some of the variability of the response data around the mean. The least- squares regression line that was fitted to the graph somewhat fits the data. the y-intercept is -65.3004 meaning when x=0 the y= -65.3044 which is (minutes very active). also meaning at -65.3044 minutes I burned 0 calories. The slope is 7.4075 meaning as x increases (calories burned) the amount of time increases by 7.4075 minutes. minutes sed
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Regression Analysis (a) Expectation Ŷi = β0 + β1xi + βi Where Ŷ =Amount of money the state spends on aid to local school districts per capita (AIDPC) Xi= State Income per capita (INCOMEPC) In general‚ we expect the increase of state Income per capita make the state spends more money on aid to local school districts per capita. Therefore‚ we expect β1>0. (b)Estimate the regression model Coefficients Standard Error t Stat Intercept -0.499260665 1.475737675 -0.33831261 INCOMEPC 0.053681383 0.044917266
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