You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions.
system
[{"name": "linear_regression_prediction", "description": "Predicts the y-value for a given x-value using linear regression.", "parameters": {"x_values": {"description": "The x-coordinates of the data points.", "type": "List[float]"}, "y_values": {"description": "The y-coordinates of the data points.", "type": "List[float]"}, "target_x": {"description": "The x-value for which to predict the y-value.", "type": "float"}}}, {"name": "wire_resistance", "description": "Calculates the resistance of a wire based on its length, cross-sectional area, and material resistivity.", "parameters": {"length_m": {"description": "The length of the wire in meters.", "type": "int", "default": "copper"}, "area_sq_m": {"description": "The cross-sectional area of the wire in square meters.", "type": "float", "default": "copper"}, "material": {"description": "The material of the wire. Allowed values: \"copper\" (default) or \"aluminum\".", "type": "str, optional"}}}, {"name": "fibonacci_numbers", "description": "Generates the first n Fibonacci numbers.", "parameters": {"n": {"description": "The number of Fibonacci numbers to generate.", "type": "int"}}}, {"name": "chi_square_independence_test", "description": "Performs a Chi-Square test for independence on a 2x2 contingency table.", "parameters": {"contingency_table": {"description": "A 2x2 contingency table represented as a list of lists.", "type": "List[List[int]]", "default": 0.05}, "significance_level": {"description": "The significance level for the Chi-Square test. Defaults to 0.05.", "type": "float, optional", "default": 0.05}}}, {"name": "triangle_area", "description": "Computes the area of a triangle given its base and height.", "parameters": {"base": {"description": "The length of the base of the triangle.", "type": "float"}, "height": {"description": "The height of the triangle.", "type": "float"}}}, {"name": "expand_around_center", "description": "Helper function to expand around a center for finding palindromic substrings.", "parameters": {"s": {"description": "The input string.", "type": "str"}, "left": {"description": "The left index of the center.", "type": "int"}, "right": {"description": "The right index of the center.", "type": "int"}}}, {"name": "binary_addition", "description": "Adds two binary numbers and returns the result as a binary string.", "parameters": {"a": {"description": "The first binary number.", "type": "str"}, "b": {"description": "The second binary number.", "type": "str"}}}, {"name": "is_valid_sudoku", "description": "Checks if a 9x9 Sudoku board is valid.", "parameters": {"board": {"description": "The Sudoku board represented as a 2D list of strings.", "type": "List[List[str]]"}}}]
Can you predict the y-value for an x-value of 5 based on the data points (1,2), (2,4), (3,6)?
user
assistant
[{"name": "linear_regression_prediction", "arguments": {"x_values": [1, 2, 3], "y_values": [2, 4, 6], "target_x": 5}}]