Solve and explain in details
150. What would you expect the correlation between daily calorie consumption and body weight to be? (a) moderate to large positive (b) small positive (c) zero or near zero (d) small negative 151. The square of the correlation coefficient or r is called the (a) covariance (b) variance (c) coefficient of determination (d) cross-product 152. What would you expect the correlation between consumer cost and consumer satisfaction to be? (a) zero or near zero (b) moderate to large negative (c) small positive (d) small negative 153. Sanju calculated a correlation coefficient of 0.75. Which of the following reflects the best interpretation of this (a) weak negative (b) strong negative (c) weak positive (d) strong positive 154. In a study of the relationship between math anxiety and math aptitude, which of the following correlation coefficients is reasonable to expect (a) +1.00 (b) +0.67 (c)-0.67 (d) - 1.00 155. A scatterplot of a correlation of 0.10 would look most like a (a) straight line (b) ellipse (c) circle (d) square 156. When there is a single continuous dependent variable and a single independent variable, the analysis is called a simple regression analysis (a) linear (b)nonlinear (c) curvilinear (d) rectangular 157. analysis involves identifying the relationship between a dependent variable and one or more independent variables (a) Correlation (b) Regression (c) SD (d) MD 158. The estimated _ equation can be used to predict the value of the dependent variable given values for the independent variables. (a) Correlation (b) mean deviation (c) standard deviation (d) regression 159. In simple linear regression, the model used to describe the relationship between a single dependent variable Y and a single independent variable X is y = a0 + alx + k. a0 and al are referred to as the model (a) values (b) estimates (c) parameters (d) class 160. In regression, the method of is the most widely used procedure for developing estimates of the model parameters (a) interpolation (b) least squares (c) extrapolation (d) dumping140. In correlation, if the coefficient is a_ . then the dependent variable will move in the same direction as the independent variable (a) positive number b) negative number (9)0 (d) infinite 141. If the coefficient is then the dependent variable will move in the opposite direction of the independent variable. (a) positive number (b) negative number (c)0 (d) infinite 142. Correlation refers to (a) the causal relationship between two variables (b)how two variables covary (c) the proportion of variance that two variables share (d)data analysis 143. For the following correlation coefficients, which of the following indicates the strongest relation? (a) r = 0.5 b)r = 0.09 (9)r= -0.6 (d)r = 0.2 144. A researcher finds a correlation of 0.40 between personal income and the number of years of college completed. Based upon this finding he can conclude that (a) a person who attended four years of college will have an annual income of Rs. 40,000 (b) more years of education causes higher income (c) personal income is a positively skewed variable (d) more years of education are associated with higher income 145. Which of the following may have an adverse effect on a correlation coefficient (a) too many people in your experiment (b) restricting the range of possible scores (c) the scores on one variable have larger numbers than the other variable (d) a negative relationship between your X and Y variables 146. Which of the following would not allow you to calculate a correlation? (a) a negative relationship between X and Y (b) a positive relationship between X and Y (c) a curvilinear relationship between X and Y (d) a linear relationship between X and Y 147. If two variables are highly correlated, what do you know? (a) that they always go together (b) that high values on one variable lead to high values on the other variable (c) that there are no other variables responsible for the relationship (d) that changes in one variable are accompanied by predictable changes in the other 148. A study designed to establish the relationship between two variables is best described as (a) descriptive (b) correlational (c) experimental (d) single subject 149. Which of the following is NOT a purpose of correlational research? (a) to determine if a relation exists between two variables (b) to make predictions (c) to establish causal relationships (d) to determine the degree to which a relationship exists between two variables128. The idea of product moment correlation was given by: (a) Fisher (b) Galton (c) Pearson (d) Spearman 129. When the measure of kurtosis is greater than 3, the distribution is: (a) mesokurtic (b) leptokurtic (c) platy kurtic (d) symmetric 130. Quartile deviation is called: (a) semi inter quartile range (b) inter quartile range (c) both (d) none. 131. A is a 3 x 2 matrix B is a 2 x 3 matrix C is a 2 x 2 matrix D is a 3 x 3 matrix Which of the following products does not exist? a)AB (b)AC (c)BD (d) CD 132. matrix has Is on the diagonal and Os everywhere else (a) Identity (b) Idempotent (c) Square (d) Null 133. If every element in a row (or column) is 0, the value of the determinant is (a) 5 (b) 7 (c)0 (d) Insufficient information 134. The sample correlation coefficient ranges between (a) -1 and +1 (b) +1 and infinity (c) -1 and infinity (d) can have any value 135. The , denoted r,ranges between -1 and +1 and quantifies the direction and strength of the linear association between the two variables a)standard deviation (b) quartile Deviation c) regression coefficient (d) sample correlation coefficient 136. The sign of the indicates the direction of the association. The magnitude of the correlation coefficient indicates the strength of the association. (a) standard deviation (b) quartile Deviation (c) correlation coefficient (d) regression coefficient 137. Correlation of r = suggests a strong, positive association between two variables (a) -0.9 (b) 0.9 (c)0 (d) -7 138. Correlation of r = suggest a weak, negative association. (a) -0.2 (b) 0.9 (c) 0 (d) 2 139. Correlation close to suggests no linear association between two continuous variables. (a) -0.9 (b) 0.9 (C)0 (d) -7
