1. Express the mathematical function for the straight line with the correct number of significant figures in the slope and y-intercept. y=- 2. What was the rate of heating for this sample of water (°C/sec)? Rate of Heating 3. Show a calculation or explain how to determine the initial temperature of the water (at the beginning of the experiment, before any data was collected) using the linear regression analysis. Include a correct unit label.
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- Given the following data, calculate the 95% confidence interval. 0.452 0.453 0.448 0.456 0.458 Average = 0.4534 St. Dev. = 0.003847 1) 0.453 ± 0.004 2) 0.453 ± 0.005 3) 0.4534 ± 0.0048 4) 0.4534 ± 0.0037 5) 0.4534 ± 0.00381. Which of the following is NOT a true representation of the Lineweaver-Burk equation? Group of answer choices a. y-intercept = -1/Vmax b. x-intercept = -1/Km c. y = 1/V0 d. x = 1/[S] e. slope = Km/Vmax 2. If the y-intercept of a Lineweaver-Burk (double reciprocal) plot = 39.37 (sec/millimole) and the slope = 75.3 L/sec, Vmax equals: Group of answer choices a. 75.3 millimoles/sec. b. 0.0254 millimoles/sec. c. 0.523 millimoles/sec. d. 39.4 millimoles/sec. 3. Which of the following is true regarding allosteric enzyme behavior?Group of answer choices a. Allosteric enzymes are rarely important in the regulation of metabolic pathways. b. An allosteric effector binds reversibly on the surface of the enzyme. c. An hyperbolic representation of the relation initial velocity vs [S] is a specific characteristic of an allosteric enzyme behavior. d. Michaelis-Menten kinetics model the kinetic behavior of allosteric enzymes.Hello, can someone please help me? I have already hand graphed 1 and 2 and found the v max, however I cannot find the Km value. I am confused because the plots on the linear weaver burk plot do not extend past the values that make up the line. So how am I supposed to estimate the value for the y-intercept in order to find the Km value
- Plot the following data and perform linear regression to obtain the value of the slope, the value of the y-intercept, and the correlation coefficient r. x- axis y-axis ln(0) 4.6052 0.0000 3.8712 0.6931 3.4012 1.0986 2.7081 1.3863 2.1972 1.6094 1.7918 1.7918 1.0986 1.9459 0.0000PLEASE ANSWER THE FF: - CLINICAL CHEMISTRY 1.The main programs of the quality assurance department are: a.) Risk management, in-service and continuing education, safety programs, quality control and peer review. b.) Human resources, national laboratory week committee, and quality control documentation. c.) Diversity, red ribbon week, and health and safety education. d.) Laboratory operations, research and development. 2. Statistical methods commonly used to evaluate quality control data in the clinical lab is/are: a) T-test, z-test, and F-test. b) Numerical statistics and graphic techniques. c) Regression analysis and Pearson’s correlation coefficient d) X2 (chi-square) tests. 3. Precision of a method is best defined as: a) Agreement between replicate measurements obtained from the sample analyzed by the test method under prescribed conditions. b) Allowable bias. c) Accuracy. d.) Closeness of the agreement between the result of the measurement and a true value of the measuredA student prepared a cereal sample solution using a procedure similar to that in Lab 5. The original sample solution was diluted by a factor of two, and then the absorbance of the diluted sample solution was measured and recorded as (2.0x10^-1). Use the following calibration plot and the dilution factor to determine the concentration of iron, in unit of M, in the original cereal sample solution. The trendline (linear regression) as displayed on the plot is y = 11898x - 0.0112.
- Give two examples of the Scale Factor Error (one of the types of systematic error). Please do not give what is already given in the example. I need it ASAP Thank youIn quality management, it is very important that you have a good background knowledge in both descriptive and inferential statistics. Since you already took up Biostatistics and Epidemiology during your Second Year, answer BRIEFLY the following questions on basic statistics: 1. Compare and contrast the three most common measures of central tendency mean, median and mode. 2. Differentiate standard deviation from coefficient of variation. 3. What is T-test?Please answer super fast and answer all questions and show calculations For the image attached For 1. a Mass of metal: Trial 1 is 35.0228 g Trial 2 is 35.0915 g Trial 3 is 34.0821 g Mass of water: Trial 1 is 20.0177 g Trial 2 is 20.0250 g Trial 3 is 20.0168 g For delta t of water: Trial 1 is 15.5 C Trial 2 is 15.7 C Trial 3 is 15.1 C For delta t of metal Trial 1 is 80.1 C Trial 2 is 80.2 C Trial 3 is 79.5 C For B my calculated Specific heat is: Trial 1 is 0.462 Trial 2 is 0.467 Trial 3 is 0.466
- (6.65x10^5)/(6.60x10^-6) (3.73x10^8) Please Calaculition. Only typed solutiong) Consider the results in Table 5. After running the regression, we test whether the variables onwer and hhinc are jointly statistically significant at 5%. The value of the F-statistic is 323.27. Note that the sample size is 1,593. What is the outcome of the test? Would it be correct to reject the null hypothesis if either the t-statistic for hhinc or the t-statistic for owner exceeded 1.96 in absolute value? Explain.y= mx+ b Slope () = -4E-09 y-intercept () = 0.4021 and OD= 0.540 , Calculate the concentration (x)